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

(database[TitleAbstract]) AND (Nucleic acids research[Journal]) 2022-02-01

Summary:

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...

Link:

https://pubmed.ncbi.nlm.nih.gov/34791371/?utm_source=Other&utm_medium=rss&utm_campaign=pubmed-2&utm_content=1VsHRGSo3HX0CgC40wRgBdaScQKv8CRE2sO_GaWJzhPEXTSQfX&fc=20220129230418&ff=20220201114750&v=2.17.5

From feeds:

📚BioDBS Bibliography » (database[TitleAbstract]) AND (Nucleic acids research[Journal])

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Authors:

Mihaly Varadi, Stephen Anyango, Mandar Deshpande, Sreenath Nair, Cindy Natassia, Galabina Yordanova, David Yuan, Oana Stroe, Gemma Wood, Agata Laydon, Augustin Žídek, Tim Green, Kathryn Tunyasuvunakool, Stig Petersen, John Jumper, Ellen Clancy, Richard Green, Ankur Vora, Mira Lutfi, Michael Figurnov, Andrew Cowie, Nicole Hobbs, Pushmeet Kohli, Gerard Kleywegt, Ewan Birney, Demis Hassabis, Sameer Velankar

Date tagged:

02/01/2022, 11:47

Date published:

11/18/2021, 06:00