KinaseMD
KinaseMD provides a curated database of 679,374 somatic kinase mutations, structural annotations, phosphorylation changes, and 390,460 drug response records to support analysis of how kinase variants affect signaling and kinase inhibitor sensitivity and resistance.
Key Features:
- Extensive Mutation Data: Integrates 679,374 somatic mutations across 547 kinases for comprehensive mutation-level analysis.
- Network-Rewiring Events: Includes 251,522 network-rewiring events that annotate how functional mutations can alter kinase regulatory networks.
- Drug Response Records: Contains 390,460 drug response records curated from various sources describing effects of kinase mutations on responses to kinase inhibitors.
- Structural Annotations: Annotates mutations within four critical protein substructures—gatekeeper, A-loop, G-loop, and αC-helix—associated with kinase inhibitor resistance.
- Functional Mutation Annotation: Identifies functional mutations that may rewire kinase regulatory networks.
- Phosphorylation Signals: Reports four types of phosphorylation signals—gain, loss, up-regulation, and down-regulation—linked to mutation effects.
Scientific Applications:
- Signaling Pathway Analysis: Supports study of signaling pathways and the regulatory roles of kinases in human diseases.
- Kinase Inhibitor Resistance Investigation: Enables linking of structural mutations to drug responses to decipher molecular mechanisms of kinase inhibitor resistance.
- Therapeutic Strategy and Outcome Prediction: Informs development of therapeutic strategies and prediction of treatment outcomes for kinase-targeting therapies.
Methodology:
Data were curated from various sources and structural annotations were integrated with drug response records for systematic analysis of mutation effects.
Topics
Details
- Tool Type:
- api
- Added:
- 1/18/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Hu R, Xu H, Jia P, Zhao Z. KinaseMD: kinase mutations and drug response database. Nucleic Acids Research. 2020;49(D1):D552-D561. doi:10.1093/nar/gkaa945. PMID:33137204. PMCID:PMC7779064.
DOI: 10.1093/nar/gkaa945
PMID: 33137204
PMCID: PMC7779064
Funding: - National Institutes of Health: R01LM012806
- Cancer Prevention and Research Institute of Texas: RP170668, RP180734