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

Mihály Váradi; Stephen Anyango; Mandar Deshpande; Sreenath Nair; Cindy Natassia; Galabina Yordanova; David Yu Yuan; Oana Stroe · Nucleic Acids Research · 2021

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Autor / responsable
Mihály Váradi; Stephen Anyango; Mandar Deshpande; Sreenath Nair; Cindy Natassia; Galabina Yordanova; David Yu Yuan; Oana Stroe
Editorial
Nucleic Acids Research
Año
2021
Idioma
en

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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.

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APA 7

Váradi, M, Anyango, S, Deshpande, M, Nair, S, Natassia, C, Yordanova, G, Yuan, D. Y, & Stroe, O. (2021). AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models. https://doi.org/10.1093/nar/gkab1061

MLA

Váradi, Mihály, et al. "AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models." 2021. https://doi.org/10.1093/nar/gkab1061.

Chicago

Váradi, Mihály, Stephen Anyango, Mandar Deshpande, Sreenath Nair, Cindy Natassia, Galabina Yordanova, David Yu Yuan, and Oana Stroe. 2021. "AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models.". https://doi.org/10.1093/nar/gkab1061.

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Váradi, M. et al. 2021, AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models, Nucleic Acids Research, available at: https://doi.org/10.1093/nar/gkab1061 [Accessed 3 Jul. 2026].

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Título
AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models
Autor / colaboradores
Mihály Váradi; Stephen Anyango; Mandar Deshpande; Sreenath Nair; Cindy Natassia; Galabina Yordanova; David Yu Yuan; Oana Stroe
Editorial
Nucleic Acids Research
Año de publicación
2021
Idioma
en

Materias

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Biology; Pairwise comparison; Sequence (biology); Database; Visualization; Protein structure; Computational biology; Proteome; Bioinformatics; Computer science; Data mining; Genetics
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