PDBe-KB Complexes: Enabling Functional Insight from Macromolecular Complexes in the PDB
PDBe-KB Complexes is a set of webpages that aggregate experimentally determined macromolecular assemblies into unique complex-level records within the Protein Data Bank in Europe Knowledge Base framework. Each unique complex identifier unifies equivalent biological assemblies from the PDB that represent the same macromolecular complex, consolidating information on component identity, stoichiometry, symmetry, ligands, and PISA-derived assembly properties within a consistent framework. Relationships between complexes are established by comparing their compositions, capturing both subcomplexes that form part of larger ones with additional components, or higher-order complexes formed by repeating identical subunits. The current release of PDBe-KB Complexes includes over 100,000 unique complex compositions encompassing protein, nucleic acid, and mixed complexes. The SARS-CoV-2 spike protein complex serves as a representative case study, demonstrating how aggregation across hundreds of assemblies from different PDB entries reveals conformational diversity, ligand interactions, and antibody binding beyond traditional PDB entry-centric views. PDBe-KB Complexes provides a comprehensive foundation for comparative and functional analyses of macromolecular complexes across the PDB, supporting fundamental and translational research and education across life sciences. Users can explore PDBe-KB Complexes webpages; for example, the SARS-CoV-2 spike complex can be accessed via any corresponding PDB entries such as 9CXE at https://www.ebi.ac.uk/pdbe/pdbe-kb/complexes/9cxe.
Authors
- Sri Devan Appasamy (ORCID: https://orcid.org/0000-0001-6609-3535)
- Sreenath Sasidharan Nair (ORCID: https://orcid.org/0000-0002-6861-7627)
- Grisell Díaz Leines (ORCID: https://orcid.org/0000-0002-3048-5315)
- Marcelo Querino Lima Afonso (ORCID: https://orcid.org/0000-0002-9966-8187)
- Adam Midlik (ORCID: https://orcid.org/0000-0003-0455-2235)
- Ivanna Pidruchna (ORCID: https://orcid.org/0009-0001-9820-5287)
- Dare Kayode Lawal
- Balakumaran Balasubramaniyan
- Jennifer Fleming
- Sameer Velankar
Institutions
- European Bioinformatics Institute (GB)
Publication Details
- Journal
- Journal of Molecular Biology
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1016/j.jmb.2025.169613
- Primary Topic
- Monoclonal and Polyclonal Antibodies Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00