WATCLUST
WATCLUST analyzes protein-water interactions to identify and characterize water sites (WS) from explicit-water molecular dynamics trajectories for use in ligand binding prediction and drug design.
Key Features:
- VMD integration: Operates on the VMD platform for processing molecular dynamics trajectories.
- Explicit-water MD analysis: Determines water sites (WS) using explicit water molecular dynamics simulations.
- Water site identification and characterization: Detects structured water sites on protein surfaces that are relevant to protein folding, function, and ligand binding.
- Autodock integration: Supplies WS data to Autodock for performing biased docking simulations based on water site information.
- Ligand binding prediction support: Uses WS characterization to inform and refine predictions of ligand–protein interactions for drug design.
Scientific Applications:
- Drug design: Informs ligand design and binding prediction by incorporating water site information into docking and interaction analyses.
- Structural biology: Elucidates the role of water-mediated interactions in protein folding and function.
- Pharmacology: Supports analysis of molecular interactions relevant to pharmacological targeting and specificity.
- Computational chemistry: Enables detailed study of protein–water interactions using molecular dynamics-derived data.
Methodology:
Analyzes explicit-water molecular dynamics trajectories within VMD to determine water sites (WS) and provides WS data for biased docking simulations with Autodock.
Topics
Details
- License:
- Unlicense
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/4/2019
- Last Updated:
- 11/24/2024
Operations
Publications
López ED, Arcon JP, Gauto DF, Petruk AA, Modenutti CP, Dumas VG, Marti MA, Turjanski AG. WATCLUST: a tool for improving the design of drugs based on protein-water interactions. Bioinformatics. 2015;31(22):3697-3699. doi:10.1093/bioinformatics/btv411. PMID:26198103.
PMID: 26198103
Documentation
Downloads
- Software packagehttp://sbg.qb.fcen.uba.ar/wt/watclust_package.tar.gz