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• W2508155287 abstract "Mathematical models of drug action are essential in contemporary drug discovery and development. Applications include exposure-response modeling (pharmacokinetics-pharmacodynamics or PK-PD); quantitative understanding of biological target and pathway; and systems approaches that integrate characteristics of the biological system with associated drug exposure. Encompassing empirical, mechanistic, or semi-mechanistic approaches, these mathematical models are informed by experimental data quantifying not only drug exposure (pharmacokinetics) and associated biological response (biomarkers), but also system-specific parameters intermediate between drug exposure and response. These system-specific endpoints, or biomeasures, include target-specific measurements such as density, turnover, shedding, and internalization rate. Quantifying these pharmacokinetic and pharmacodynamic endpoints—which include small molecule, biological, and cellular measures—requires a diverse repertoire of analytical instrumentation and approaches. The discipline partnership between quantitative bioanalytics and systems modeling provides an invaluable tool to improve the success of pharmaceutical research and development. The authors will provide a perspective on the interface between laboratory science and mathematical modeling to improve assessment of exposure-response relationships, and ultimately successful drug development." @default.
• W2508155287 created "2016-09-16" @default.
• W2508155287 creator A5038787613 @default.
• W2508155287 creator A5049499750 @default.
• W2508155287 date "2016-01-01" @default.
• W2508155287 modified "2023-09-23" @default.
• W2508155287 title "Application of Quantitative Biomeasures in Early Drug Discovery" @default.
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• W2508155287 doi "https://doi.org/10.1007/978-3-319-40793-7_4" @default.
• W2508155287 hasPublicationYear "2016" @default.
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