FLEXR
FLEXR automates construction of multi-conformer models by applying Ringer-based electron-density sampling to identify and integrate alternate side-chain and backbone conformations in high-resolution crystallographic electron-density maps.
Key Features:
- Automated multi-conformer model building: Constructs explicit multi-conformer models from crystallographic electron-density maps.
- Ringer-based electron-density sampling: Employs Ringer-based sampling to detect alternate conformations and higher-energy density features.
- Alternate-state identification and integration: Identifies hidden alternate states in electron-density maps and integrates them into structural models for refinement, inspection, and deposition.
- Detection of side-chain and backbone heterogeneity: Reveals previously undetected side-chain and backbone conformations, with emphasis on ligand-binding sites.
- Validation on high-resolution datasets: Demonstrated on crystal structures with resolutions between 0.8 and 1.85 Å.
- Addresses PDB underrepresentation: Targets underrepresentation of alternative conformations in Protein Data Bank (PDB) models, where approximately 18% of side chains in high-resolution models exhibit variability.
Scientific Applications:
- Structural model refinement and deposition: Improves completeness of structural models submitted for refinement and deposition by adding explicit alternate conformations.
- Analysis of protein-ligand interactions: Reveals alternate conformations in ligand-binding sites to inform studies of protein-ligand binding mechanisms.
- Ligand discovery and drug design support: Provides structural information on higher-energy and alternate states that can inform ligand discovery and drug design efforts.
- Characterization of conformational heterogeneity: Enables systematic detection of conformational variability in high-resolution crystallographic datasets.
Methodology:
Applies Ringer-based electron-density sampling to crystallographic electron-density maps and builds explicit multi-conformer models by identifying and integrating alternate states into structural models for refinement, inspection, and deposition.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python, Ruby
- Added:
- 9/15/2023
- Last Updated:
- 9/15/2023
Operations
Data Inputs & Outputs
Backbone modelling
Publications
Stachowski TR, Fischer M. <i>FLEXR</i>: automated multi-conformer model building using electron-density map sampling. Acta Crystallographica Section D Structural Biology. 2023;79(5):354-367. doi:10.1107/s2059798323002498. PMID:37071395. PMCID:PMC10167668.