RestraintMaker

RestraintMaker optimizes selection of distance restraints between molecular pairs to improve accuracy and sampling efficiency in relative binding free energy (RBFE) and other free-energy calculations.


Key Features:

  • Graph-Based Approach: Employs a graph-based methodology using geometric measures to identify locally optimal distance restraints.
  • Greedy Algorithm Implementation: Implements a greedy algorithm to systematically select restraints, reduce inter-molecular drift, and enhance sampling efficiency.
  • Dual-Topology Compatibility: Designed for dual-topology RBFE workflows where molecules are simulated separately to facilitate high-throughput calculations.
  • Multi-State Methods Support: Supports multi-state free-energy methods including enveloping distribution sampling (EDS) and multi-site dynamics.
  • Output Formats: Exports selected distance restraints in GROMOS and GROMACS file formats and a human-readable JSON format.
  • System Representation Categorization: Automates systematic categorization of system representations to address ambiguities in restraint definitions reported in the literature.

Scientific Applications:

  • Relative Binding Free Energy Calculations: Improves precision and sampling control in RBFE comparisons by optimizing distance restraint selection.
  • Enveloping Distribution Sampling and Multi-Site Dynamics: Provides restraint sets compatible with EDS and multi-site dynamics for exploration of complex free-energy landscapes.

Methodology:

Uses a graph-based methodology with geometric measures and a greedy selection algorithm, combined with automated categorization of system representations, to select distance restraints.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
7/4/2022
Last Updated:
7/4/2022

Operations

Publications

Ries B, Rieder S, Rhiner C, Hünenberger PH, Riniker S. RestraintMaker: a graph-based approach to select distance restraints in free-energy calculations with dual topology. Journal of Computer-Aided Molecular Design. 2022;36(3):175-192. doi:10.1007/s10822-022-00445-6. PMID:35314898. PMCID:PMC8994745.

PMID: 35314898
PMCID: PMC8994745
Funding: - Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung: 200021-175944, 200021-178762

Documentation

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