ArticleNucleic acids research2022
AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models.
Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4,424 papers.
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4,424 citing papers in PubMed.
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- The structural context of mutations in proteins predicts their effect on antibiotic resistance.eLife · 2026Article
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- Endogenous Trigeminal Neurons Induce Schwann Differentiation of Donor Stem Cells in Dental Pulp Regeneration via Reciprocal Extracellular Vesicles Interplay.Exploration (Beijing, China) · 2026Article
- A structure-aware generative AI framework for revealing functional relationships in protein families.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
4,364 more citing papers are in PubMed but not listed here.
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Authors and funding
27 authors.
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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.
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