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AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models
Mihály Váradi (European Bioinformatics Institute), Stephen Anyango (European Bioinformatics Institute), Mandar Deshpande (European Bioinformatics Institute), Sreenath Sasidharan Nair (European Bioinformatics Institute), Cindy Natassia (European Bioinformatics Institute), Galabina Yordanova (European Bioinformatics Institute), David Yu Yuan (European Bioinformatics Institute), Oana Stroe (European Bioinformatics Institute), Gemma Wood (European Bioinformatics Institute), Agata Laydon (Google DeepMind (United Kingdom)), Augustin Žídek (Google DeepMind (United Kingdom)), Tim Green (Google DeepMind (United Kingdom)), Kathryn Tunyasuvunakool (Google DeepMind (United Kingdom)), Stig Petersen (Google DeepMind (United Kingdom)), John Jumper (Google DeepMind (United Kingdom)), Ellen Clancy (Google DeepMind (United Kingdom)), Richard R. Green (Google DeepMind (United Kingdom)), Ankur Vora (Google DeepMind (United Kingdom)), Mira Lutfi (Google DeepMind (United Kingdom)), Michael Figurnov (Google DeepMind (United Kingdom)), Andrew Cowie (Google DeepMind (United Kingdom)), Nicole Hobbs (Google DeepMind (United Kingdom)), Pushmeet Kohli (Google DeepMind (United Kingdom)), Gerard J. Kleywegt (European Bioinformatics Institute), Ewan Birney (European Bioinformatics Institute), Demis Hassabis (Google DeepMind (United Kingdom)), Sameer S Velankar (European Bioinformatics Institute)
Résumé : 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.