AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models

Author:

Varadi Mihaly1ORCID,Anyango Stephen1,Deshpande Mandar1ORCID,Nair Sreenath1,Natassia Cindy1,Yordanova Galabina1,Yuan David1,Stroe Oana1,Wood Gemma1,Laydon Agata2,Žídek Augustin2,Green Tim2,Tunyasuvunakool Kathryn2,Petersen Stig2,Jumper John2,Clancy Ellen2,Green Richard2,Vora Ankur2,Lutfi Mira2,Figurnov Michael2,Cowie Andrew2,Hobbs Nicole2,Kohli Pushmeet2,Kleywegt Gerard1,Birney Ewan1ORCID,Hassabis Demis2,Velankar Sameer1ORCID

Affiliation:

1. European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK

2. DeepMind, London, UK

Abstract

Abstract The AlphaFold Protein Structure Database (AlphaFold DB, https://alphafold.ebi.ac.uk) is an openly accessible, extensive database of high-accuracy protein-structure predictions. Powered by AlphaFold v2.0 of DeepMind, it has enabled an unprecedented expansion of the structural coverage of the known protein-sequence space. AlphaFold DB provides programmatic access to and interactive visualization of predicted atomic coordinates, per-residue and pairwise model-confidence estimates and predicted aligned errors. The initial release of AlphaFold DB contains over 360,000 predicted structures across 21 model-organism proteomes, which will soon be expanded to cover most of the (over 100 million) representative sequences from the UniRef90 data set.

Funder

DeepMind

Publisher

Oxford University Press (OUP)

Subject

Genetics

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