Predict drug-resistance hotspots (Gatekeeper, G-loop, αC-helix, A-loop) in human kinase.
Run predictionFor coming-back users, go here to retrieve results from previous runs with Job IDs.
Check resultsGatekeeper A-loop G-loop αC-helix
✦ 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.
Ruifeng Hu, Zhongming Zhao, Haodong Xu
♦ Lin, S, Tu, C, Hu, R, Wang, H, Dong, Z, Luo, H, Kuang, L, Wang, T, Wang, L, Zhao, Z, Li, Z, & Xu, H. (2025). Dr. Kinase: predicting the drug-resistance hotspots of protein kinases. Nucleic Acids Research, 53(W1), W258–W265. [PMID: 40308214]
♦ 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]