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.
PMID: 27153651
Documentation
Links
Issue tracker
https://github.com/huiliucode/cafe_plugin/issues