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

Nucleic Acids Res. 2022 Jan 7;50(D1):D439-D444. doi: 10.1093/nar/gkab1061.


The AlphaFold Protein Structure Database (AlphaFold DB, 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.

MeSH terms

  • Amino Acid Sequence
  • Animals
  • Bacteria / genetics
  • Bacteria / metabolism
  • Databases, Protein*
  • 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
  • Protein Folding*
  • Proteins / chemistry*
  • Proteins / genetics
  • Proteins / metabolism
  • Software*
  • Trypanosoma cruzi / genetics
  • Trypanosoma cruzi / metabolism


  • Proteins