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

被引：4719

作者：

Varadi, Mihaly ^{[1
]}

Anyango, Stephen ^{[1
]}

Deshpande, Mandar ^{[1
]}

Nair, Sreenath ^{[1
]}

Natassia, Cindy ^{[1
]}

Yordanova, Galabina ^{[1
]}

Yuan, David ^{[1
]}

Stroe, Oana ^{[1
]}

Wood, Gemma ^{[1
]}

Laydon, Agata ^{[2
]}

Zidek, Augustin ^{[2
]}

Green, Tim ^{[2
]}

Tunyasuvunakool, Kathryn ^{[2
]}

Petersen, Stig ^{[2
]}

Jumper, John ^{[2
]}

Clancy, Ellen ^{[2
]}

Green, Richard ^{[2
]}

Vora, Ankur ^{[2
]}

Lutfi, Mira ^{[2
]}

Figurnov, Michael ^{[2
]}

Cowie, Andrew ^{[2
]}

Hobbs, Nicole ^{[2
]}

Kohli, Pushmeet ^{[2
]}

Kleywegt, Gerard ^{[1
]}

Birney, Ewan ^{[1
]}

Hassabis, Demis ^{[2
]}

Velankar, Sameer ^{[1
]}

机构：

[1] European Mol Biol Lab, European Bioinformat Inst, Hinxton, England

[2] DeepMind, London, England

来源：

NUCLEIC ACIDS RESEARCH | 2022年 / 50卷 / D1期

关键词：

D O I：

10.1093/nar/gkab1061

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：D439 / D444

页数：6

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