CaFE

CaFE calculates binding free energies using end-point free energy methods MM/PBSA and LIE to predict ligand–protein binding affinities for structure-based drug design.


Key Features:

  • End-point free energy methods: Implements MM/PBSA (Molecular Mechanics/Poisson-Boltzmann Surface Area) and LIE (Linear Interaction Energy) for binding free energy calculations.
  • Integration with VMD and NAMD: Operates as a VMD plugin and integrates with NAMD-generated molecular dynamics trajectories.
  • Support for multiple file formats: Handles static coordinate files and molecular dynamics trajectory formats produced by various simulation packages.
  • Force field parameter support: Accepts diverse force field parameters for molecular mechanics energy evaluations.
  • Implementation language: Implemented in Tcl.

Scientific Applications:

  • Structure-based drug design: Predicts ligand–protein binding affinities to support identification and optimization of drug candidates.
  • Ligand–protein binding affinity evaluation: Evaluates binding affinities of ligands to target proteins using MM/PBSA and LIE.
  • Molecular dynamics analysis: Analyzes energetics of ligand–protein complexes derived from molecular dynamics trajectories.

Methodology:

Implements end-point binding free energy calculations using MM/PBSA (Molecular Mechanics/Poisson-Boltzmann Surface Area) and LIE (Linear Interaction Energy) applied to static coordinate files and molecular dynamics trajectories.

Topics

Details

License:
GPL-3.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Added:
8/4/2019
Last Updated:
11/24/2024

Operations

Publications

Liu H, Hou T. CaFE: a tool for binding affinity prediction using end-point free energy methods. Bioinformatics. 2016;32(14):2216-2218. doi:10.1093/bioinformatics/btw215. PMID:27153651.

Documentation

Links