Four drug-resistance hotspots in kinase
Four drug-resistance hotspots (Gatekeeper, G-loop, αC-helix, and A-loop) associated with drug accessibilities in human kinases were collected.
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Model performance
Our trained models showed high accuracies and rubust on the prediction of the drugable regions in human protein kinases. The average AUC values are greater than 0.95.
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Enriched result annotation
Predicting results can be retrieved (within 30 days after job finished) and were annotated with enriched information.
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Predict drug-resistance hotspots (Gatekeeper, G-loop, αC-helix, A-loop) in human kinase.
Run predictionResults
For coming-back users, go here to retrieve results from previous runs with Job IDs.
Check results3D structure
Gatekeeper A-loop G-loop αC-helix
About
✦ Dr. Kinase builds upon our previously published studies (Hu R et al. NAR, 2021; Kim P et al. BIB, 2021) and utilizes the advantages of deep hybrid learning technology and multimodal features to predict actionable drug-resistance hotspots.
✦ The performance of Dr. Kinase has been rigorously evaluated using five-fold cross-validation and additional independent testing, demonstrating excellent accuracy with area under the curve (AUC) values exceeding 0.89 in different types of drug-resistance hotspot predictions.
✦ Additionally, Dr. Kinase provides comprehensive annotations and visualizations for the predicted results.
Update
Apr 12, 2025: Visualization of prediction results were updated.
Apr 10, 2025: "Mutation mode" was added.
Dec 18, 2024: Visualization of prediction results were added.
Dec 14, 2024: This prediction platform and webserver were built.
Oct 12, 2024: Prediction models were trained and tested.
Aug 25, 2024: Drug resistance hotspots were annotated.
Aug 10, 2024: Human kinase protein data were collected.
Apr 10, 2025: "Mutation mode" was added.
Dec 18, 2024: Visualization of prediction results were added.
Dec 14, 2024: This prediction platform and webserver were built.
Oct 12, 2024: Prediction models were trained and tested.
Aug 25, 2024: Drug resistance hotspots were annotated.
Aug 10, 2024: Human kinase protein data were collected.
Developers:
Ruifeng Hu, Zhongming Zhao, Haodong Xu
Citation of our works:
♦ Dr. Kinase: Predicting the Drug resistance hotspots of Kinases using deep hybrid learning. Nucleic Acids Research.
♦ Hu R, Xu H, Jia P, Zhao Z. KinaseMD: kinase mutations and drug response database. Nucleic Acids Research. 49 (D1), D552-D561 [PMID: 33137204]
♦ Kim P, Li H, Wang J, & Zhao Z. (2021). Landscape of drug-resistance mutations in kinase regulatory hotspots. Briefings in Bioinformatics. 22(3), bbaa108. [PMID: 32510566]
