Propedia

Propedia organizes and provides integrated structural and sequence information for >19,000 high-resolution protein–peptide complex structures from the Protein Data Bank (PDB) to support analysis of protein–peptide interactions and peptide design.

Key Features:

• Curated dataset: Contains >19,000 high-resolution protein–peptide complex structures curated from the PDB with integrated structural and sequence information.
• Hybrid clustering strategy: Organizes peptides using a hybrid clustering strategy that groups entries by peptide sequence similarity, structural features of the protein–peptide interface, and binding-site similarity.
• Similarity and redundancy analyses: Provides similarity and redundancy analyses for comparative assessment of protein–peptide interaction patterns.
• Validation: Validated through case studies including peptide inhibitor prediction for the SARS-CoV-2 main protease, with reported scores correlating with molecular-dynamics free-energy calculations.

Scientific Applications:

• Structure-based peptide design: Supports prediction, classification, and scoring of protein–peptide complexes for rational peptide design.
• Peptide therapeutic development: Aids development of peptide therapeutics by enabling comparative analysis of binding modes and interface determinants.
• Interaction motif discovery: Facilitates discovery of interaction motifs and interface determinants across protein–peptide complexes.
• Drug-discovery workflows: Integrates comparative binding-mode analysis into broader drug-discovery and biotechnology workflows.

Methodology:

Integrates structural and sequence data from PDB-derived protein–peptide complexes and applies a hybrid clustering algorithm that groups peptides by sequence similarity, interface structural similarity, and binding-site similarity, together with similarity/redundancy analyses.