rename package

CITATION.CFF

@@ -2,7 +2,7 @@
 # Visit https://bit.ly/cffinit to generate yours today!
 
 cff-version: 1.2.0
-title: DeepRank-GNN
+title: deeprank-core
 message: >-
   If you use this software, please cite it using the
   metadata from this file.
@@ -21,11 +21,11 @@ authors:
 identifiers:
   - type: url
     value: ''
-    description: 'https://github.com/DeepRank/Deeprank-GNN'
-repository-code: 'https://github.com/DeepRank/Deeprank-GNN'
-url: 'https://deeprank-gnn.readthedocs.io/'
+    description: 'https://github.com/DeepRank/deeprank-core'
+repository-code: 'https://github.com/DeepRank/deeprank-core'
+url: 'https://deeprank-core.readthedocs.io/'
 abstract: >-
-  DeepRank-GNN allows ranking of Protein-protein
+  deeprank-core allows ranking of Protein-protein
   Interface using a graph representation of the
   contact residues. Graphs of such interfaces are
   used to train graph neural network for the

README.md

@@ -1,8 +1,8 @@
-# DeepRank-GNN
+# deeprank-core
 
-[![Build Status](https://github.com/DeepRank/deeprank-gnn-2/actions/workflows/ci-pipeline.yml/badge.svg)](https://github.com/DeepRank/deeprank-gnn-2/actions)
-[![Codacy Badge](https://api.codacy.com/project/badge/Grade/f3f98b2d1883493ead50e3acaa23f2cc)](https://app.codacy.com/gh/DeepRank/DeepRank-GNN?utm_source=github.com&utm_medium=referral&utm_content=DeepRank/DeepRank-GNN&utm_campaign=Badge_Grade)
-[![Coverage Status](https://coveralls.io/repos/github/DeepRank/deeprank-gnn-2/badge.svg?branch=main)](https://coveralls.io/github/DeepRank/deeprank-gnn-2?branch=main)
+[![Build Status](https://github.com/DeepRank/deeprank-core/actions/workflows/ci-pipeline.yml/badge.svg)](https://github.com/DeepRank/deeprank-core/actions)
+[![Codacy Badge](https://api.codacy.com/project/badge/Grade/f3f98b2d1883493ead50e3acaa23f2cc)](https://app.codacy.com/gh/DeepRank/deeprank-core?utm_source=github.com&utm_medium=referral&utm_content=DeepRank/deeprank-core&utm_campaign=Badge_Grade)
+[![Coverage Status](https://coveralls.io/repos/github/DeepRank/deeprank-core/badge.svg?branch=main)](https://coveralls.io/github/DeepRank/deeprank-core?branch=main)
 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5705564.svg)](https://doi.org/10.5281/zenodo.5705564)
 
 ![alt-text](./deeprankcore.png)
@@ -29,12 +29,12 @@ Before installing deeprank-core you need to install:
 You can get all the new developments by cloning the repo and installing the code with
 
 ```
-git clone https://github.com/DeepRank/deeprank-gnn-2
-cd deeprank-gnn-2
+git clone https://github.com/DeepRank/deeprank-core
+cd deeprankcore
 pip install -e ./
 ```
 
-[//]: # (The documentation can be found here : https://deeprank-gnn.readthedocs.io/)
+[//]: # (The documentation can be found here : https://deeprank-core.readthedocs.io/)
 
 ## Generate Graphs
 
@@ -191,6 +191,6 @@ nn.train(nepoch=50)
 
 ## h5x support
 
-After installing  `h5xplorer`  (https://github.com/DeepRank/h5xplorer), you can execute the python file `deeprankcore/h5x/h5x.py` to explorer the connection graph used by DeepRank-GNN. The context menu (right click on the name of the structure) allows to automatically plot the graphs using `plotly` as shown below.
+After installing  `h5xplorer`  (https://github.com/DeepRank/h5xplorer), you can execute the python file `deeprankcore/h5x/h5x.py` to explorer the connection graph used by deeprank-core. The context menu (right click on the name of the structure) allows to automatically plot the graphs using `plotly` as shown below.
 
 ![alt-text](./h5_deeprankcore.png)

setup.py

@@ -15,16 +15,16 @@
     readme = readme_file.read()
 
 setup(
-    name='DeepRank-GNN-2',
+    name='deeprank-core',
     version=version['__version__'],
     description='Graph Neural network Scoring of protein-protein conformations',
     long_description=readme + '\n\n',
     long_description_content_type='text/markdown',
     author=["Giulia Crocioni", "Coos Baakman", "Daniel Rademaker", "Gayatri Ramakrishnan", "Sven van der Burg", "Li Xue", "Daniil Lepikhov"],
     author_email='[email protected], [email protected]',
-    url='https://github.com/DeepRank/deeprank-gnn-2',
+    url='https://github.com/DeepRank/deeprank-core',
     packages=find_packages(include=['deeprankcore']),
-    package_dir={'deeprank-gnn-2': 'deeprankcore'},
+    package_dir={'deeprank-core': 'deeprankcore'},
     include_package_data=True,
     license="Apache Software License 2.0",
     zip_safe=False,