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Proteomics|November 28, 2012
Predicting adverse drug reaction profiles by integrating protein interaction networks with drug structuresLiang-Chin Huang, Xiaogang Wu, Jake Y ChenBMC Genomics|February 29, 2012
Predicting adverse side effects of drugsLiang-Chin Huang, Xiaogang Wu, Jake Y ChenBiomed Research International|April 2, 2014
Network-assisted prediction of potential drugs for addictionJingchun Sun, Liang-Chin Huang, Hua Xu, et al.Biomed Research International|November 6, 2015
Classification of Cancer Primary Sites Using Machine Learning and Somatic MutationsYukun Chen, Jingchun Sun, Liang-Chin Huang, et al.BMC Systems Biology|June 24, 2015
A weighted and integrated drug-target interactome: drug repurposing for schizophrenia as a use caseLiang-Chin Huang, Ergin Soysal, W Zheng, et al.Peerj|October 23, 2023
Predicting protein and pathway associations for understudied dark kinases using pattern-constrained knowledge graph embeddingMariah V Salcedo, Nathan Gravel, Abbas Keshavarzi, et al.JMIR Aging|February 25, 2025
Real-World Insights Into Dementia Diagnosis Trajectory and Clinical Practice Patterns Unveiled by Natural Language Processing: Development and Usability StudyHunki Paek, Richard H Fortinsky, Kyeryoung Lee, et al.BMC Bioinformatics|November 13, 2020
Quantitative Structure-Mutation-Activity Relationship Tests (QSMART) model for protein kinase inhibitor response predictionLiang-Chin Huang, Wayland Yeung, Ye Wang, et al.Peerj|December 11, 2023
Dark kinase annotation, mining, and visualization using the Protein Kinase OntologySaber Soleymani, Nathan Gravel, Liang-Chin Huang, et al.BMC Bioinformatics|September 19, 2021
KinOrtho: a method for mapping human kinase orthologs across the tree of life and illuminating understudied kinasesLiang-Chin Huang, Rahil Taujale, Nathan Gravel, et al.Pageof 3