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Updated: Feb 1, 2026

An Intestine/Liver Microphysiological System for Drug Pharmacokinetic and Toxicological Assessment
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用机器学习预测的输入和一个大In Vivo药理动力学数据集来预测动物药理动力学的高透量生理基础的药理动力学模型

Davide Bassani1, Andrea Andrews-Morger1, Jin Zhang1

  • 1Pharmaceutical Research & Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., 4070 Basel, Switzerland.

Molecular pharmaceutics
|January 30, 2026
PubMed
概括

高通量生理学基础的药理动力学 (HT-PBPK) 建模只使用化学结构准确预测药物的特性. 这加快了药物发现的速度,用可靠的in silico预测取代了广泛的体外测试.

关键词:
在PK预测PK预测复合优化的复合优化发现药物的发现.高吞吐量PBPK (HT-PBPK) 的使用机器学习 (ML) 是指机器学习.

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