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• W2015341915 startingPage "351" @default.
• W2015341915 abstract "Quantitative prediction of the <i>in vivo</i> drug–drug interactions (DDIs) caused by metabolic inhibition, one of the most common DDI mechanisms in clinical practice, has long been challenged. The DDI-induced increase in the area under the plasma concentration–time curve of a substrate drug can now be predicted with a certain degree of accuracy based on the inhibition parameters obtained in <i>in vitro</i> studies together with information on the pharmacokinetic properties of both the substrate and inhibitor. Here we argue that physiologically based pharmacokinetic modeling facilitates more precise prediction of the DDI-induced change in substrate exposure and is also expected to assist in prediction of recently recognized DDIs involving drug transporters. Quantitative prediction of DDIs involving both metabolism and transport would provide valuable information for increased efficiency in drug development and avoidance of toxic interactions in clinical practice." @default.
• W2015341915 created "2016-06-24" @default.
• W2015341915 creator A5027984186 @default.
• W2015341915 creator A5079639326 @default.
• W2015341915 date "2010-08-01" @default.
• W2015341915 modified "2023-10-03" @default.
• W2015341915 title "Use of clearance concepts and modeling techniques in the prediction of metabolic drug–drug interactions" @default.
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• W2015341915 doi "https://doi.org/10.1016/j.tips.2010.05.002" @default.
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