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Set version to 1.5.3
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milot-mirdita committed Oct 30, 2023
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4 changes: 2 additions & 2 deletions AlphaFold2.ipynb
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"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 v1.5.2-patch: AlphaFold2 using MMseqs2\n",
"##ColabFold v1.5.3: 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)\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)\n",
"\n",
"[Mirdita M, Schütze K, Moriwaki Y, Heo L, Ovchinnikov S, Steinegger M. ColabFold: Making protein folding accessible to all.\n",
"*Nature Methods*, 2022](https://www.nature.com/articles/s41592-022-01488-1)\n",
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2 changes: 1 addition & 1 deletion README.md
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# ColabFold - v1.5.2
# ColabFold - v1.5.3

For details of what was changed in v1.5, see [change log](https://github.com/sokrypton/ColabFold/wiki/v1.5.0)!

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4 changes: 2 additions & 2 deletions batch/AlphaFold2_batch.ipynb
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"id": "G4yBrceuFbf3"
},
"source": [
"#ColabFold v1.5.2: AlphaFold2 w/ MMseqs2 BATCH\n",
"#ColabFold v1.5.3: 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",
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"\n",
"`result_dir` results will be written to the result directory in Google Drive\n",
"\n",
"Old versions: [v1.4](https://colab.research.google.com/github/sokrypton/ColabFold/blob/v1.4.0/batch/AlphaFold2_batch.ipynb), [v1.5.1](https://colab.research.google.com/github/sokrypton/ColabFold/blob/v1.5.1//batch/AlphaFold2_batch.ipynb)\n",
"Old versions: [v1.4](https://colab.research.google.com/github/sokrypton/ColabFold/blob/v1.4.0/batch/AlphaFold2_batch.ipynb), [v1.5.1](https://colab.research.google.com/github/sokrypton/ColabFold/blob/v1.5.1//batch/AlphaFold2_batch.ipynb), [v1.5.2](https://colab.research.google.com/github/sokrypton/ColabFold/blob/v1.5.2//batch/AlphaFold2_batch.ipynb)\n",
"\n",
"<strong>For more details, see <a href=\"#Instructions\">bottom</a> of the notebook and checkout the [ColabFold GitHub](https://github.com/sokrypton/ColabFold). </strong>\n",
"\n",
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2 changes: 1 addition & 1 deletion pyproject.toml
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[tool.poetry]
name = "colabfold"
version = "1.5.2"
version = "1.5.3"
description = "Making protein folding accessible to all. Predict proteins structures both in google colab and on your machine"
authors = [
"Milot Mirdita <milot.mirdita@mpibpc.mpg.de>",
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