PDBe is a founding member of the Worldwide Protein Data Bank which collects, organises and disseminates data on biological macromolecular structures. In collaboration with the other Worldwide Protein Data Bank (wwPDB) partners, we work to collate, maintain and provide access to the global repository of macromolecular structure models, the Protein Data Bank (PDB).
PDBe provides an integrated resource of high-quality macromolecular structures and related data, making it available to the biomedical community via intuitive user interfaces.
PDBe-KB is a community-driven resource managed by the PDBe team, collating functional annotations and predictions for structure data in the PDB archive. PDBe-KB is a collaborative effort between PDBe and a diverse group of bioinformatics resources and research teams.
PDBe-KB contains data contributed by projects such as SIFTS and FunPDBe and aims to place structures from the PDB in their biological context.
AlphaFold DB provides open access to protein structure predictions for the human proteome and 20 other key organisms to accelerate scientific research.
AlphaFold is an AI system developed by DeepMind that predicts a protein’s 3D structure from its amino acid sequence. It regularly achieves accuracy competitive with experimental structure determination.
DeepMind and EMBL’s European Bioinformatics Institute (EMBL-EBI) have partnered to create AlphaFold DB to make these predictions freely available to the scientific community.