基于生理学的药代动力学模型
药物发现
生化工程
计算机科学
药代动力学
药品
化学
化学空间
组合化学
计算生物学
极限(数学)
小分子
纳米技术
药理学
灵敏度(控制系统)
管理科学
药物开发
体内
药学
数据科学
作者
Simone Esposito,David Álvaro Cebrián
标识
DOI:10.1021/acsmedchemlett.6c00425
摘要
Abstract As drug discovery increasingly explores beyond-rule-of-five compounds and challenging classical small molecules such as zwitterionic, highly lipophilic, and tissue-targeted drugs, pharmacokinetic behavior is more often governed by interactions with physicochemical and biological processes that limit the utility of purely empirical optimization approaches. In this Perspective, we discuss the role of physiologically based pharmacokinetic (PBPK) modeling as a mechanistic framework for understanding complex drug disposition and enabling model-informed decision-making during early stages of drug discovery by integrating early in vivo data, literature-derived compounds, and sensitivity and uncertainty analysis.
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