Published in
Oxford University Press, Nucleic Acids Research, D1(50), p. D439-D444, 2021
DOI: 10.1093/nar/gkab1061
Links
Tools
AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models
,
Stephen Anyango ,
Mandar Deshpande ,
Sreenath Nair ,
Cindy Natassia,
Galabina Yordanova,
David Yuan,
Oana Stroe,
Gemma Wood,
Agata Laydon,
Augustin Žídek,
Tim Green,
Kathryn Tunyasuvunakool,
Stig Petersen,
John Jumper
and other authors.
Full text: Download
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.