diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml
index 059744f0..4f97ec32 100644
--- a/.github/workflows/docker.yml
+++ b/.github/workflows/docker.yml
@@ -7,7 +7,7 @@ on:
         description: 'ColabFold Conda version'
         required: true
         type: string
-        default: '1.5.4'
+        default: '1.5.5'
 
 env:
   REGISTRY: ghcr.io
diff --git a/AlphaFold2.ipynb b/AlphaFold2.ipynb
index 7234afc4..ff37ebdc 100644
--- a/AlphaFold2.ipynb
+++ b/AlphaFold2.ipynb
@@ -46,7 +46,7 @@
       "source": [
         "<img src=\"https://raw.githubusercontent.com/sokrypton/ColabFold/main/.github/ColabFold_Marv_Logo_Small.png\" height=\"200\" align=\"right\" style=\"height:240px\">\n",
         "\n",
-        "##ColabFold v1.5.4: AlphaFold2 using MMseqs2\n",
+        "##ColabFold v1.5.5: AlphaFold2 using MMseqs2\n",
         "\n",
         "Easy to use protein structure and complex prediction using [AlphaFold2](https://www.nature.com/articles/s41586-021-03819-2) and [Alphafold2-multimer](https://www.biorxiv.org/content/10.1101/2021.10.04.463034v1). Sequence alignments/templates are generated through [MMseqs2](mmseqs.com) and [HHsearch](https://github.com/soedinglab/hh-suite). For more details, see <a href=\"#Instructions\">bottom</a> of the notebook, checkout the [ColabFold GitHub](https://github.com/sokrypton/ColabFold) and read our manuscript.\n",
         "Old versions: [v1.4](https://colab.research.google.com/github/sokrypton/ColabFold/blob/v1.4.0/AlphaFold2.ipynb), [v1.5.1](https://colab.research.google.com/github/sokrypton/ColabFold/blob/v1.5.1/AlphaFold2.ipynb), [v1.5.2](https://colab.research.google.com/github/sokrypton/ColabFold/blob/v1.5.2/AlphaFold2.ipynb), [v1.5.3-patch](https://colab.research.google.com/github/sokrypton/ColabFold/blob/56c72044c7d51a311ca99b953a71e552fdc042e1/AlphaFold2.ipynb)\n",
diff --git a/Dockerfile b/Dockerfile
index 1bf3a71b..20ff7c18 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,5 +1,5 @@
 ARG CUDA_VERSION=11.8.0
-ARG COLABFOLD_VERSION=1.5.4
+ARG COLABFOLD_VERSION=1.5.5
 FROM nvidia/cuda:${CUDA_VERSION}-base-ubuntu22.04
 
 RUN apt-get update && apt-get install -y wget cuda-nvcc-$(echo $CUDA_VERSION | cut -d'.' -f1,2 | tr '.' '-') --no-install-recommends --no-install-suggests && rm -rf /var/lib/apt/lists/* && \
diff --git a/README.md b/README.md
index a90a51f3..eb478f11 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-# ColabFold - v1.5.4
+# ColabFold - v1.5.5
 
 For details of what was changed in v1.5, see [change log](https://github.com/sokrypton/ColabFold/wiki/v1.5.0)!
 
diff --git a/batch/AlphaFold2_batch.ipynb b/batch/AlphaFold2_batch.ipynb
index 94f1dc65..aefc6aae 100644
--- a/batch/AlphaFold2_batch.ipynb
+++ b/batch/AlphaFold2_batch.ipynb
@@ -34,7 +34,7 @@
         "id": "G4yBrceuFbf3"
       },
       "source": [
-        "#ColabFold v1.5.4: AlphaFold2 w/ MMseqs2 BATCH\n",
+        "#ColabFold v1.5.5: AlphaFold2 w/ MMseqs2 BATCH\n",
         "\n",
         "<img src=\"https://raw.githubusercontent.com/sokrypton/ColabFold/main/.github/ColabFold_Marv_Logo_Small.png\" height=\"256\" align=\"right\" style=\"height:256px\">\n",
         "\n",
diff --git a/pyproject.toml b/pyproject.toml
index 684e7fa9..de9f10a9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "colabfold"
-version = "1.5.4"
+version = "1.5.5"
 description = "Making protein folding accessible to all. Predict proteins structures both in google colab and on your machine"
 authors = [
     "Milot Mirdita <mmirdit@snu.ac.kr>",