基于生理学的药代动力学模型
药物开发
药品
药代动力学
药理学
临床药理学
计算机科学
资源(消歧)
可预测性
医学
风险分析(工程)
数学
计算机网络
统计
作者
Malcolm Rowland,Carl C. Peck,Geoffrey T. Tucker
标识
DOI:10.1146/annurev-pharmtox-010510-100540
摘要
The application of physiologically-based pharmacokinetic (PBPK) modeling is coming of age in drug development and regulation, reflecting significant advances over the past 10 years in the predictability of key pharmacokinetic (PK) parameters from human in vitro data and in the availability of dedicated software platforms and associated databases. Specific advances and contemporary challenges with respect to predicting the processes of drug clearance, distribution, and absorption are reviewed, together with the ability to anticipate the quantitative extent of PK-based drug-drug interactions and the impact of age, genetics, disease, and formulation. The value of this capability in selecting and designing appropriate clinical studies, its implications for resource-sparing techniques, and a more holistic view of the application of PK across the preclinical/clinical divide are considered. Finally, some attention is given to the positioning of PBPK within the drug development and approval paradigm and its future application in truly personalized medicine.
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