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.
DOI: 10.1002/jcc.26114
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