PepPro

PepPro provides a nonredundant benchmark dataset of experimentally determined peptide–protein complex structures for evaluating and improving peptide–protein computational docking algorithms.


Key Features:

  • Nonredundant benchmark dataset: Contains 89 experimentally determined peptide–protein complex structures.
  • Peptide length range: Peptides span 5 to 30 amino acids in sequence length.
  • Secondary-structure diversity: Includes peptides exhibiting helix, partial helix, helix–β-sheet combinations, binding-induced β-sheets, self-folding β-sheets, and coil structures.
  • Unbound protein structures: Provides unbound protein structures for 58 complexes to enable assessment of conformational changes during binding.
  • Benchmarking purpose: Specifically curated to evaluate and enhance peptide–protein computational docking algorithms.

Scientific Applications:

  • Docking algorithm benchmarking: Benchmark and evaluate peptide–protein computational docking algorithms using experimentally determined complex structures.
  • Conformational-change assessment: Assess docking methods' ability to handle receptor conformational changes using the 58 unbound protein structures.
  • Conformational diversity testing: Test docking performance across diverse peptide secondary structures and lengths (5–30 amino acids).
  • Method development: Support development and refinement of peptide docking methodologies.

Methodology:

Compilation of 89 experimentally determined peptide–protein complex structures with annotated peptide secondary-structure motifs and inclusion of 58 corresponding unbound protein structures.

Topics

Details

Added:
1/14/2020
Last Updated:
11/24/2024

Operations

Publications

Xu X, Zou X. PepPro: A Nonredundant Structure Data Set for Benchmarking Peptide–Protein Computational Docking. Journal of Computational Chemistry. 2019;41(4):362-369. doi:10.1002/jcc.26114. PMID:31793016. PMCID:PMC7447090.

PMID: 31793016
PMCID: PMC7447090
Funding: - Division of Computer and Network Systems: CNS‐1429294 - National Heart, Lung, and Blood Institute: R01HL126774, R01HL142301 - National Institute of General Medical Sciences: R01GM109980