KRDS
KRDS evaluates drug resistance mutations in kinases relevant to anti-cancer therapies by generating mutant kinase structural models and performing ligand docking to assess effects on kinase-ligand interactions.
Key Features:
- Mutation input processing: Processes lists of kinase point mutations for downstream structural and docking analysis.
- Mutant kinase structural modeling: Generates structural models for mutant kinase proteins using protein structure modeling methods.
- Ligand docking simulations: Performs ligand docking simulations between generated mutant kinase models and potential drug molecules.
- Docking score analysis: Computes and compares docking scores to quantify changes in predicted binding affinity caused by mutations.
- Conformational analysis: Analyzes ligand conformations and docking poses to assess mutation-induced alterations in binding modes.
Scientific Applications:
- Mechanistic investigation: Elucidates how specific kinase mutations alter kinase-ligand binding mechanisms and conformations.
- Resistance inference: Infers the impact of mutations on drug binding to identify mutations likely to confer drug resistance.
- Therapeutic guidance: Guides development and optimization of therapeutic strategies to overcome kinase-associated drug resistance in anti-cancer contexts.
Methodology:
KRDS generates structural models of mutant kinases, conducts ligand docking simulations with drug molecules, and analyzes changes in docking scores and ligand conformations to assess effects of mutations on kinase-ligand interactions.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/25/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Lee A, Hong S, Kim D. KRDS: a web server for evaluating drug resistance mutations in kinases by molecular docking. Journal of Cheminformatics. 2018;10(1). doi:10.1186/s13321-018-0274-y. PMID:29633047. PMCID:PMC5891443.
PMID: 29633047
PMCID: PMC5891443
Funding: - Korean Health Technology R&D Project, Ministry of Health & Welfare, Republic of Korea: HI12C0014
- Bio-Synergy Research Project: NRF-2017M3A9C4065952