AlphaFold Protein Structure Database

AlphaFold is our AI system that predicts a protein’s 3D structure from its amino acid sequence. In CASP14, AlphaFold was the top-ranked protein structure prediction method by a large margin, producing predictions with high accuracy, many of which are competitive with experimentally-determined measurements.

We’ve partnered with Europe’s flagship laboratory for life sciences - EMBL’s European Bioinformatics Institute (EMBL-EBI) - to create the AlphaFold Protein Structure Database to make these predictions freely available to the scientific community.

The initial release of the database covers all of the 20,000 proteins in the human proteome, along with the proteomes of several other biologically significant organisms, from E.coli to yeast, and from the fruit fly to the mouse. In the coming months we plan to expand the database to cover a large proportion of all the 100 million proteins catalogued in the UniRef90 database.

The AlphaFold Protein Structure Database will continue to expand over time, so if you can’t find what you’re looking for right now, please follow DeepMind and EMBL-EBI’s social channels for updates. In the meantime, you can use the AlphaFold source code to predict the structures of proteins not yet in the AlphaFold DB, and the Colab notebook to run individual sequences.

We would love to hear your feedback and understand how AlphaFold has been useful in your research. Share your stories at alphafold@deepmind.com.

AlphaFold Protein Structure Database

OpenSource

22 Jul 2021