Translational biomedical informatics and pharmacometrics approaches in the drug interactions research

Pengyue Zhang, Heng Yi Wu, Chien Wei Chiang, Lei Wang, Samar Binkheder, Xueying Wang, Donglin Zeng, Sara Quinney, Lang Li

Research output: Contribution to journalReview article

2 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)90-102
Number of pages13
JournalCPT: Pharmacometrics and Systems Pharmacology
Volume7
Issue number2
DOIs
StatePublished - Feb 1 2018

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Drug interactions
Informatics
Drug Interactions
Drugs
Data Mining
Interaction
Research
Pharmacovigilance
Pharmacokinetics
Drug-Related Side Effects and Adverse Reactions
Text Mining
Data mining
Databases
Methodology
Modeling

ASJC Scopus subject areas

  • Modeling and Simulation
  • Cardiology and Cardiovascular Medicine
  • Pharmacology (medical)

Cite this

Translational biomedical informatics and pharmacometrics approaches in the drug interactions research. / Zhang, Pengyue; Wu, Heng Yi; Chiang, Chien Wei; Wang, Lei; Binkheder, Samar; Wang, Xueying; Zeng, Donglin; Quinney, Sara; Li, Lang.

In: CPT: Pharmacometrics and Systems Pharmacology, Vol. 7, No. 2, 01.02.2018, p. 90-102.

Research output: Contribution to journalReview article

Zhang, Pengyue ; Wu, Heng Yi ; Chiang, Chien Wei ; Wang, Lei ; Binkheder, Samar ; Wang, Xueying ; Zeng, Donglin ; Quinney, Sara ; Li, Lang. / Translational biomedical informatics and pharmacometrics approaches in the drug interactions research. In: CPT: Pharmacometrics and Systems Pharmacology. 2018 ; Vol. 7, No. 2. pp. 90-102.
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