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

Links