PoseFilter
PoseFilter identifies and filters docking poses in symmetric oligomeric binding sites to distinguish unique ligand-binding configurations for structural analysis and drug discovery.
Key Features:
- Symmetric Pose Detection: Identifies unique oligomeric poses within symmetric binding sites to distinguish non-redundant docking configurations.
- RMSD-based Comparison: Computes Root Mean Square Deviations (RMSD) between atomic positions of docked poses to quantify structural similarity.
- Interaction Fingerprint Analysis: Generates interaction fingerprints that analyze ligand-binding-site interaction patterns to characterize molecular contacts.
- Demonstrated on Oligomeric Complexes: Applied to docking outputs from oligomeric protein-ligand complexes to validate pose discrimination.
Scientific Applications:
- Structural Biology: Discriminates symmetric binding poses to aid interpretation of ligand-binding modes in oligomeric proteins.
- Drug Discovery and Rational Design: Prioritizes non-redundant docking poses to support lead identification, optimization, and rational drug design.
Methodology:
Integrates with PyMOL, leveraging its visualization capabilities and providing specialized functions for symmetric pose analysis.
Topics
Details
- Tool Type:
- library, plugin
- Programming Languages:
- Python, PyMOL
- Added:
- 11/22/2021
- Last Updated:
- 11/22/2021
Operations
Publications
Williams JC, Kalyaanamoorthy S. PoseFilter: a PyMOL plugin for filtering and analyzing small molecule docking in symmetric binding sites. Bioinformatics. 2021;37(19):3367-3368. doi:10.1093/bioinformatics/btab188. PMID:33742661.
PMID: 33742661
Funding: - Canada First Research Excellence Fund: #CFREF-2015-00011