AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models
Nucleic acids research, 2022•academic.oup.com
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 …
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 …
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.
Oxford University Press