ProPepBA: a binding affinity database for canonical and chemically modified protein-peptide interactions.

ProPepBA curates 3962 experimentally determined protein–canonical peptide binding affinity records from ~500 research articles/patents, plus 608 chemically modified peptide records.

• Why it matters: Binding affinity data are scattered across literature and existing databases are limited by small size and missing experimental conditions and mutation information, hindering systematic analysis and modeling.
• What they did: The team built a curated database with entries covering protein and peptide identities, thermodynamic parameters, experimental conditions, and literature references, cross-linked to UniProt, PDB, AlphaFoldDB, and PubMed.
• The result: ProPepBA’s integrated sequence, structural, and thermodynamic information supports exploring sequence–structure–affinity relationships, developing computational tools, and discovering high-affinity peptide binders for peptide-based drug design.