Suppr超能文献

关于用于预测毒性的计算机模拟方法的开发、评估和应用的当前及未来展望

Current and Future Perspectives on the Development, Evaluation, and Application of in Silico Approaches for Predicting Toxicity.

作者信息

Patlewicz Grace, Fitzpatrick Jeremy M

机构信息

National Center for Computational Toxicology (NCCT), U.S. Environmental Protection Agency , Research Triangle Park, North Carolina 27711, United States.

出版信息

Chem Res Toxicol. 2016 Apr 18;29(4):438-51. doi: 10.1021/acs.chemrestox.5b00388. Epub 2016 Jan 6.

Abstract

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.

摘要

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。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验