{"id":"doi:10.1093/nar/gkab1061","kind":"article","title":"AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models","authors":["Mihály Váradi","Stephen Anyango","Mandar Deshpande","Sreenath Sasidharan Nair","Cindy Natassia","Galabina Yordanova","David Yu Yuan","Oana Stroe","Gemma Wood","Agata Laydon","Augustin Žídek","Tim Green","Kathryn Tunyasuvunakool","Stig Petersen","John Jumper","Ellen Clancy","Richard R. Green","Ankur Vora","Mira Lutfi","Michael Figurnov","Andrew Cowie","Nicole Hobbs","Pushmeet Kohli","Gerard J. Kleywegt","Ewan Birney"],"author_count":27,"year":2021,"published":"2021-10-19","venue":"Nucleic Acids Research","cited_by":7841,"doi":"10.1093/nar/gkab1061","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1093/nar/gkab1061","archive_url":"https://space-kitty.com/papers/doi:10.1093/nar/gkab1061","updated":null,"pmid":"34791371","pmcid":"PMC8728224","openalex_id":"W3211795435","pdf_url":"https://europepmc.org/articles/PMC8728224/pdf","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.","abstract_license":"CC-BY (publisher license, via OpenAlex)","license":"cc-by","is_open_access":true,"retracted":false,"peer_reviewed":null,"categories":["Protein Structure and Dynamics"],"details":null,"provenance":"openalex+europepmc","attribution":"Abstract of \"AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models\" by Mihály Váradi, Stephen Anyango, Mandar Deshpande et al., https://doi.org/10.1093/nar/gkab1061, used under its Creative Commons Attribution license (CC-BY); markup removed, otherwise unmodified.","topics":[{"slug":"protein-design","name":"AI Protein Design & Structure Prediction","domain_slug":"biotech"}],"cited_in_dossiers":[]}