PyPLIF HIPPO
PyPLIF HIPPO generates interaction fingerprints from molecular docking results to analyze protein-ligand interactions for structure-based virtual screening.
Key Features:
- Interaction Fingerprinting: Translates 3D coordinates of ligands and proteins from docking simulations into interaction bitstrings (Interaction Fingerprints) for granular analysis of protein-ligand contacts.
- Compatibility with Docking Software: Parses and analyzes docking outputs from AutoDock Vina and PLANTS.
- Enhanced Computational Efficiency: Separates reference generation from docking analysis to reduce computational runtime for large-scale studies.
- Expanded Options: Provides additional configurable options for interaction detection and fingerprint generation compared to its predecessor.
Scientific Applications:
- Retrospective structure-based virtual screening: Enables retrospective structure-based virtual screening to evaluate and prioritize docking results.
- Neuraminidase inhibitor analysis: Supports detailed interaction analyses for targets such as neuraminidase to aid identification of potential inhibitors.
Methodology:
Reads and processes molecular files, with current support for the Sybil mol2 format.
Topics
Details
- License:
- GPL-3.0
- Programming Languages:
- Python, Shell
- Added:
- 1/18/2021
- Last Updated:
- 1/30/2021
Operations
Publications
Istyastono EP, Radifar M, Yuniarti N, Prasasty VD, Mungkasi S. PyPLIF HIPPOS: A Molecular Interaction Fingerprinting Tool for Docking Results of AutoDock Vina and PLANTS. Journal of Chemical Information and Modeling. 2020;60(8):3697-3702. doi:10.1021/acs.jcim.0c00305. PMID:32687350.
PMID: 32687350
Funding: - Indonesian National Research and Innovation Agency: 807.7/LL5/PG/2020
Links
Repository
https://github.com/radifar/PyPLIF-HIPPOS