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.

PMID: 31441995
Funding: - Department of Biotechnology , Ministry of Science and Technology: BT/PR21490/MED/30/1773/2016, DBT/2015/VRF/363