LigTBM
LigTBM performs template-based docking of small molecules to proteins to generate structural models of protein–ligand complexes for use in drug discovery and protein–small molecule interaction prediction.
Key Features:
- Template-Based Docking Approach: Identifies known protein–ligand complexes with ligands that partially cover the target ligand to provide structural templates.
- Conformational Sampling and Template-Guided Energy Refinement: Performs extensive conformational sampling of ligand poses followed by template-guided energy refinement.
- Scoring System: Scores refined poses to rank and select top candidate binding modes.
- Integration with ClusPro Suite: Integrates with the ClusPro docking server suite for combined docking workflows.
Scientific Applications:
- Benchmarking and Validation: Evaluated on the Astex Diverse benchmark and targets from the D3R (Drug Design Data Resource) Grand Challenge.
- Drug Discovery and Interaction Prediction: Supports prediction of small-molecule binding poses for drug discovery and molecular biology research.
Methodology:
Template identification of known complexes with partial ligand overlap, extensive conformational sampling of poses, template-guided energy refinement, and scoring of refined poses; approaches adapted from CAPRI methodologies.
Topics
Details
- Tool Type:
- web application
- Added:
- 1/14/2020
- Last Updated:
- 11/24/2024
Operations
Publications
Alekseenko A, Kotelnikov S, Ignatov M, Egbert M, Kholodov Y, Vajda S, Kozakov D. ClusPro LigTBM: Automated Template-based Small Molecule Docking. Journal of Molecular Biology. 2020;432(11):3404-3410. doi:10.1016/j.jmb.2019.12.011. PMID:31863748. PMCID:PMC7890944.
PMID: 31863748
PMCID: PMC7890944
Funding: - National Science Foundation: AF 1645512, AF 1816314, DBI 1759277
- National Institutes of Health: R21 GM127952, R35 GM118078