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

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.

PMID: 37071395
Funding: - National Institute of General Medical Sciences: R35GM142772