Zhang, PengyueWu, Heng-YiChiang, Chien-WeiBinkheder, SamarWang, XueyingZeng, DonglinQuinney, Sara K.Li, Lang2018-01-262018-01-262018Zhang, P., Wu, H.-Y., Chiang, C.-W., Wang, L., Binkheder, S., Wang, X., Zeng, D., Quinney, S. K. and Li, L. (2018), Translational Biomedical Informatics and Pharmacometrics Approaches in the Drug Interactions Research. CPT Pharmacometrics Syst. Pharmacol.. Accepted Author Manuscript. http://dx.doi.org/10.1002/psp4.12267https://hdl.handle.net/1805/15079Drug interaction is a leading cause of adverse drug events and a major obstacle for current clinical practice. Pharmacovigilance data mining, pharmacokinetic modeling, and text mining are computation and informatic tools on integrating drug interaction knowledge and generating drug interaction hypothesis. We provide a comprehensive overview of these translational biomedical informatics methodologies with related databases. We hope this review illustrates the complementary nature of these informatic approaches and facilitates the translational drug interaction research.enAttribution-NonCommercial 3.0 United Statesadverse drug eventsdrug interactiontranslational biomedical informaticsArticle