Patlewicz Grace, Fitzpatrick Jeremy M
National Center for Computational Toxicology (NCCT), U.S. Environmental Protection Agency , Research Triangle Park, North Carolina 27711, United States.
Chem Res Toxicol. 2016 Apr 18;29(4):438-51. doi: 10.1021/acs.chemrestox.5b00388. Epub 2016 Jan 6.
Exploiting non-testing approaches to predict toxicity early in the drug discovery development cycle is a helpful component in minimizing expensive drug failures due to toxicity being identified in late development or even during clinical trials. Changes in regulations in the industrial chemicals and cosmetics sectors in recent years have prompted a significant number of advances in the development, application, and assessment of non-testing approaches, such as (Q)SARs. Many efforts have also been undertaken to establish guiding principles for performing read-across within category and analogue approaches. This review offers a perspective, as taken from these sectors, of the current status of non-testing approaches, their evolution in light of the advances in high-throughput approaches and constructs such as adverse outcome pathways, and their potential relevance for drug discovery. It also proposes a workflow for how non-testing approaches could be practically integrated within testing and assessment strategies.
在药物发现开发周期的早期利用非测试方法来预测毒性,是将因后期开发甚至临床试验中发现毒性而导致的昂贵药物失败降至最低的一个有益组成部分。近年来,工业化学品和化妆品行业法规的变化促使非测试方法(如定量构效关系)在开发、应用和评估方面取得了重大进展。人们还做出了许多努力来制定在类别内进行类推和类似物方法的指导原则。本综述从这些领域的角度,介绍了非测试方法的现状、鉴于高通量方法和诸如不良结局途径等构建体的进展而发生的演变,以及它们与药物发现的潜在相关性。它还提出了一个工作流程,说明如何将非测试方法实际整合到测试和评估策略中。