AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models
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- Mihaly Varadi
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
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- Stephen Anyango
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
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- Mandar Deshpande
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
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- Sreenath Nair
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
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- Cindy Natassia
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
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- Galabina Yordanova
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
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- David Yuan
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
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- Oana Stroe
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
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- Gemma Wood
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
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- Agata Laydon
- DeepMind, London, UK
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- Augustin Žídek
- DeepMind, London, UK
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- Tim Green
- DeepMind, London, UK
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- Kathryn Tunyasuvunakool
- DeepMind, London, UK
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- Stig Petersen
- DeepMind, London, UK
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- John Jumper
- DeepMind, London, UK
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- Ellen Clancy
- DeepMind, London, UK
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- Richard Green
- DeepMind, London, UK
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- Ankur Vora
- DeepMind, London, UK
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- Mira Lutfi
- DeepMind, London, UK
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- Michael Figurnov
- DeepMind, London, UK
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- Andrew Cowie
- DeepMind, London, UK
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- Nicole Hobbs
- DeepMind, London, UK
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- Pushmeet Kohli
- DeepMind, London, UK
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- Gerard Kleywegt
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
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- Ewan Birney
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
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- Demis Hassabis
- DeepMind, London, UK
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- Sameer Velankar
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
書誌事項
- 公開日
- 2021-11-17
- 権利情報
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- https://creativecommons.org/licenses/by/4.0/
- DOI
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- 10.1093/nar/gkab1061
- 公開者
- Oxford University Press (OUP)
この論文をさがす
説明
<jats:title>Abstract</jats:title> <jats:p>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.</jats:p>
収録刊行物
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- Nucleic Acids Research
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Nucleic Acids Research 50 (D1), D439-D444, 2021-11-17
Oxford University Press (OUP)
