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

2021 Nucleic Acids Research 7,525 citations

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.

Keywords

BiologyPairwise comparisonSequence (biology)DatabaseVisualizationProtein structureComputational biologyProteomeBioinformaticsComputer scienceData miningGeneticsArtificial intelligence

MeSH Terms

Amino Acid SequenceAnimalsBacteriaDatabasesProteinDatasets as TopicDictyosteliumFungiHumansInternetModelsMolecularPlantsProtein Conformationalpha-HelicalProtein Conformationbeta-StrandProtein FoldingProteinsSoftwareTrypanosoma cruzi

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Publication Info

Year
2021
Type
article
Volume
50
Issue
D1
Pages
D439-D444
Citations
7525
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

7525
OpenAlex
210
Influential
6895
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Cite This

Mihály Váradi, Stephen Anyango, Mandar Deshpande et al. (2021). AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models. Nucleic Acids Research , 50 (D1) , D439-D444. https://doi.org/10.1093/nar/gkab1061

Identifiers

DOI
10.1093/nar/gkab1061
PMID
34791371
PMCID
PMC8728224

Data Quality

Data completeness: 90%