google-deepmind/alphafold v2.0.1

AlphaFold v2.0.1

on GitHub

Version 2.0.1 is mainly a bug fix release. We thank everyone who reported issues and proposed solutions.

Change log:

• [new feature] Added AlphaFold Colab notebook that enables convenient folding from your browser.
• [new feature] The reduced_dbs preset was added together with small BFD.
• Some of the genetic databases are now mirrored on GCP.
• Added a missing data/__init__.py and model/tf/__init__.py files.
• README fixes and additions.
• Switched to using cudnn base image based on Ubuntu 18.04.
• Switched to tensorflow-cpu since we don't need a GPU when running the data pipeline.
• Improved logging in the AlphaFold pipeline.
• Fixed a few typos and added and fixed a few comments.
• Added pLDDT in the B-factor column of the output PDBs.
• Skip obsolete PDB templates that don't have a replacement.
• Small test improvements.