PepVis
PepVis performs large-scale peptide structure modeling and virtual screening to identify and optimize peptide–protein interactions for peptide therapeutic discovery.
Key Features:
- Integration with open-source tools: Uses ModPep and GROMACS for peptide modeling and optimization and AutoDock Vina, ZDOCK, and AutoDock CrankPep (ADCP) for virtual screening.
- Rescoring and refinement: Employs ZRANK2 for rescoring protein–peptide complexes and FlexPepDock for flexible refinement of large protein–peptide complexes.
- Parallel job execution: Supports parallel execution using GNU parallel to increase computational throughput.
- Automated script generation: Generates automated bash scripts to orchestrate modeling, docking, rescoring, and refinement steps.
Scientific Applications:
- Peptide therapeutic discovery: Enables high-throughput computational screening to identify and prioritize peptide candidates for drug development.
- Protein–peptide interaction analysis: Facilitates exploration and optimization of peptide binding conformations and interaction models with protein targets.
Methodology:
Automated script generation; peptide modeling and optimization with ModPep and GROMACS; virtual screening with AutoDock Vina, ZDOCK, and AutoDock CrankPep (ADCP); rescoring with ZRANK2; flexible refinement with FlexPepDock; parallel execution via GNU parallel; benchmarking and validation using the LEADS-PEP dataset (ModPep + Vina reported to outperform others for near-native detection).
Topics
Details
- License:
- GPL-3.0
- Programming Languages:
- Python
- Added:
- 11/14/2019
- Last Updated:
- 1/9/2021
Operations
Publications
Ansar S, Vetrivel U. PepVis: An integrated peptide virtual screening pipeline for ensemble and flexible docking protocols. Chemical Biology & Drug Design. 2019;94(6):2041-2050. doi:10.1111/cbdd.13607. PMID:31441995.