数据在定量系统药理学模型开发和应用中的作用。

Q1 Pharmacology, Toxicology and Pharmaceutics
Jason R Chan, Abhishek Gulati, Mary E Spilker, Erica L Bradshaw
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引用次数: 0

摘要

定量系统药理学(QSP)是一门跨学科的方法,它整合了数学建模、生物学知识和实验数据,以深入了解人体生理系统中药物作用和疾病进展的复杂动力学。在QSP模型开发的所有阶段都使用来自多个(通常是不同的)来源的不同类型的数据。在本文中,我们探讨了用于QSP模型开发和应用的各种类型的数据,它们的来源,以及数据质量如何影响模型衍生结果的解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Role of Data in Development and Application of Quantitative Systems Pharmacology Models.

Quantitative systems pharmacology (QSP) is an interdisciplinary approach that integrates mathematical modeling, biological knowledge, and experimental data to gain insights into the complex dynamics of drug action and disease progression on the human physiological system. Different types of data from multiple and often disparate sources are used throughout all phases of QSP model development. Herein, we explore the various types of data used to inform the development and application of QSP models, their sources, and how the quality of data impacts the interpretation of model-derived results.

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来源期刊
Handbook of experimental pharmacology
Handbook of experimental pharmacology Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
5.20
自引率
0.00%
发文量
54
期刊介绍: The Handbook of Experimental Pharmacology is one of the most authoritative and influential book series in pharmacology. It provides critical and comprehensive discussions of the most significant areas of pharmacological research, written by leading international authorities. Each volume in the series represents the most informative and contemporary account of its subject available, making it an unrivalled reference source.
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