qFit 3

qFit 3 generates multiconformer models from X-ray crystallography and cryo-electron microscopy (cryo-EM) electron density maps to represent protein conformational ensembles and ligand variability.


Key Features:

  • Multiconformer modeling: Generates multiconformer models that capture multiple protein and ligand conformations consistent with X-ray and cryo-EM electron density maps.
  • Automated alternate-conformation identification: Identifies and models internally consistent sets of alternate conformations across residues and small-molecule ligands.
  • Exhaustive conformer combination evaluation: Evaluates an extensive array of combinations of sidechain conformers, backbone fragments, and small-molecule ligands to explain observed electron density.
  • Parsimonious model selection: Selects parsimonious multiconformer models that balance fit to electron density with internal consistency across conformational states.

Scientific Applications:

  • Protein dynamics characterization: Enables characterization of protein conformational ensembles and backbone and sidechain heterogeneity from crystallography and cryo-EM data.
  • Structure-based drug discovery: Informs analysis of ligand binding sites and conformational flexibility relevant to drug design and ligand optimization.

Methodology:

Evaluates an extensive array of conformer combinations and identifies an internally consistent set of alternate conformations that together best explain X-ray or cryo-EM electron density maps to produce parsimonious multiconformer models.

Topics

Details

License:
MIT
Programming Languages:
Python
Added:
1/18/2021
Last Updated:
1/31/2021

Operations

Publications

Riley BT, Wankowicz SA, de Oliveira SHP, van Zundert GCP, Hogan D, Fraser JS, Keedy DA, van den Bedem H. qFit 3: Protein and ligand multiconformer modeling for X-ray crystallographic and single-particle cryo-EM density maps. Unknown Journal. 2020. doi:10.1101/2020.09.03.280222.

Links