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

Authors :
Varadi M
Anyango S
Deshpande M
Nair S
Natassia C
Yordanova G
Yuan D
Stroe O
Wood G
Laydon A
Žídek A
Green T
Tunyasuvunakool K
Petersen S
Jumper J
Clancy E
Green R
Vora A
Lutfi M
Figurnov M
Cowie A
Hobbs N
Kohli P
Kleywegt G
Birney E
Hassabis D
Velankar S
Source :
Nucleic acids research [Nucleic Acids Res] 2022 Jan 07; Vol. 50 (D1), pp. D439-D444.
Publication Year :
2022

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.<br /> (© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Details

Language :
English
ISSN :
1362-4962
Volume :
50
Issue :
D1
Database :
MEDLINE
Journal :
Nucleic acids research
Publication Type :
Academic Journal
Accession number :
34791371
Full Text :
https://doi.org/10.1093/nar/gkab1061