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Translational Biomedical Informatics and Pharmacometrics Approaches in the Drug Interactions Research

Drug 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 hypot...

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Detalles Bibliográficos
Autores principales: Zhang, Pengyue, Wu, Heng‐Yi, Chiang, Chien‐Wei, Wang, Lei, Binkheder, Samar, Wang, Xueying, Zeng, Donglin, Quinney, Sara K., Li, Lang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5824109/
https://www.ncbi.nlm.nih.gov/pubmed/29193890
http://dx.doi.org/10.1002/psp4.12267
Descripción
Sumario:Drug 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.