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在正确、错误与相关之间导航:数学建模在临床前决策中的应用

Navigating Between Right, Wrong, and Relevant: The Use of Mathematical Modeling in Preclinical Decision Making.

作者信息

Kondic Anna, Bottino Dean, Harrold John, Kearns Jeffrey D, Musante C J, Odinecs Aleksandrs, Ramanujan Saroja, Selimkhanov Jangir, Schoeberl Birgit

机构信息

Nektar Therapeutics, San Francisco, CA, United States.

Takeda Development Center Americas, Inc. (TDCA), Lexington, MA, United States.

出版信息

Front Pharmacol. 2022 Apr 12;13:860881. doi: 10.3389/fphar.2022.860881. eCollection 2022.

Abstract

The goal of this mini-review is to summarize the collective experience of the authors for how modeling and simulation approaches have been used to inform various decision points from discovery to First-In-Human clinical trials. The article is divided into a high-level overview of the types of problems that are being aided by modeling and simulation approaches, followed by detailed case studies around drug design (Nektar Therapeutics, Genentech), feasibility analysis (Novartis Pharmaceuticals), improvement of preclinical drug design (Pfizer), and preclinical to clinical extrapolation (Merck, Takeda, and Amgen).

摘要

本综述的目的是总结作者们关于建模与模拟方法如何用于为从发现到首次人体临床试验的各个决策点提供信息的集体经验。本文分为对建模与模拟方法所辅助解决的各类问题的高层次概述,随后是围绕药物设计(Nektar Therapeutics公司、基因泰克公司)、可行性分析(诺华制药公司)、临床前药物设计改进(辉瑞公司)以及临床前到临床外推(默克公司、武田制药公司和安进公司)的详细案例研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a749/9042116/fd5d7f87fcd8/fphar-13-860881-g001.jpg

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