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AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models.
- Source :
-
Nucleic acids research [Nucleic Acids Res] 2022 Jan 07; Vol. 50 (D1), pp. D439-D444. - Publication Year :
- 2022
-
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.<br /> (© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.)
- Subjects :
- Amino Acid Sequence
Animals
Bacteria genetics
Bacteria metabolism
Datasets as Topic
Dictyostelium genetics
Dictyostelium metabolism
Fungi genetics
Fungi metabolism
Humans
Internet
Models, Molecular
Plants genetics
Plants metabolism
Protein Conformation, alpha-Helical
Protein Conformation, beta-Strand
Proteins genetics
Proteins metabolism
Trypanosoma cruzi genetics
Trypanosoma cruzi metabolism
Databases, Protein
Protein Folding
Proteins chemistry
Software
Subjects
Details
- Language :
- English
- ISSN :
- 1362-4962
- Volume :
- 50
- Issue :
- D1
- Database :
- MEDLINE
- Journal :
- Nucleic acids research
- Publication Type :
- Academic Journal
- Accession number :
- 34791371
- Full Text :
- https://doi.org/10.1093/nar/gkab1061