КОМПЬЮТЕРНАЯ ТОМОГРАФИЯ – ОСНОВА ОПТИМИЗАЦИИ МИНИТОРАКОТОМНОГО ДОСТУПА
2014/01/01 by Mihály Váradi, Stephen Anyango, Mandar Deshpande +27 · 206 citations
Biochemistry, Genetics and Molecular Biology · Materials Science · #Enzyme Structure and Function #Machine Learning in Bioinformatics #Protein Structure and Dynamics
paper · doi:10.1093/nar/gkab1061
openalex publication_date 2014/01/01 · openalex created_date 2016/06/24 · openalex updated_date 2026/06/23
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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