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KinaseMD: kinase mutations and drug response database
- Source :
- Nucleic Acids Research
- Publication Year :
- 2020
- Publisher :
- Oxford University Press (OUP), 2020.
-
Abstract
- Mutations in kinases are abundant and critical to study signaling pathways and regulatory roles in human disease, especially in cancer. Somatic mutations in kinase genes can affect drug treatment, both sensitivity and resistance, to clinically used kinase inhibitors. Here, we present a newly constructed database, KinaseMD (kinase mutations and drug response), to structurally and functionally annotate kinase mutations. KinaseMD integrates 679 374 somatic mutations, 251 522 network-rewiring events, and 390 460 drug response records curated from various sources for 547 kinases. We uniquely annotate the mutations and kinase inhibitor response in four types of protein substructures (gatekeeper, A-loop, G-loop and αC-helix) that are linked to kinase inhibitor resistance in literature. In addition, we annotate functional mutations that may rewire kinase regulatory network and report four phosphorylation signals (gain, loss, up-regulation and down-regulation). Overall, KinaseMD provides the most updated information on mutations, unique annotations of drug response especially drug resistance and functional sites of kinases. KinaseMD is accessible at https://bioinfo.uth.edu/kmd/, having functions for searching, browsing and downloading data. To our knowledge, there has been no systematic annotation of these structural mutations linking to kinase inhibitor response. In summary, KinaseMD is a centralized database for kinase mutations and drug response.
- Subjects :
- AcademicSubjects/SCI00010
Somatic cell
Drug resistance
Biology
computer.software_genre
medicine.disease_cause
User-Computer Interface
03 medical and health sciences
0302 clinical medicine
Databases, Genetic
Genetics
medicine
Database Issue
Phosphorylation
Protein Kinase Inhibitors
Gene
030304 developmental biology
0303 health sciences
Mutation
Database
Kinase
Phosphotransferases
Cancer
Molecular Sequence Annotation
medicine.disease
Drug Resistance, Neoplasm
030220 oncology & carcinogenesis
Signal transduction
computer
Subjects
Details
- ISSN :
- 13624962 and 03051048
- Volume :
- 49
- Database :
- OpenAIRE
- Journal :
- Nucleic Acids Research
- Accession number :
- edsair.doi.dedup.....9ea89f0b43a61d9e10b918d7c98b7100