制药工业
药物开发
转化研究
药物发现
药品
药代动力学
医学
药理学
药效学
药学
生物信息学
生物
病理
作者
Harvey Wong,Tonika Bohnert,Valeriu Damian‐Iordache,Christopher R Gibson,Cheng‐Pang Hsu,Anu Shilpa Krishnatry,Bianca M. Liederer,Lin Jing,Qiang Lu,Jerome Mettetal,Daniel R. Mudra,Marjoleen Nijsen,Patricia Schroeder,Edgar Schuck,Satyendra Suryawanshi,Patrick Trapa,Alice Tsai,Haiqing Wang,Fan Wu
标识
DOI:10.1016/j.drudis.2017.04.015
摘要
With inadequate efficacy being the primary cause for the attrition of drug candidates in clinical development, the need to better predict clinical efficacy earlier in the drug development process has increased in importance in the pharmaceutical industry. Here, we review current applications of translational pharmacokinetic-pharmacodynamic (PK-PD) modeling of preclinical data in the pharmaceutical industry, including best practices. Preclinical translational PK-PD modeling has been used in many therapeutic areas and has been impactful to drug development. The role of preclinical translational PK-PD modeling in drug discovery and development will continue to evolve and broaden, given that its broad implementation in the pharmaceutical industry is relatively recent and many opportunities still exist for its further application.
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