Suppr超能文献

用于监管风险评估的预测有机化学品潜在生态危害的定量构效关系。

Quantitative structure-activity relationships for predicting potential ecological hazard of organic chemicals for use in regulatory risk assessments.

作者信息

Comber Mike H I, Walker John D, Watts Chris, Hermens Joop

机构信息

Exxon Mobil Biomedical Sciences, Exxon Mobil, Hermeslaan 2, 1831 Machelen, Belgium.

出版信息

Environ Toxicol Chem. 2003 Aug;22(8):1822-8. doi: 10.1897/01-261.

Abstract

The use of quantitative structure-activity relationships (QSARs) for deriving the predicted no-effect concentration of discrete organic chemicals for the purposes of conducting a regulatory risk assessment in Europe and the United States is described. In the United States, under the Toxic Substances Control Act (TSCA), the TSCA Interagency Testing Committee and the U.S. Environmental Protection Agency (U.S. EPA) use SARs to estimate the hazards of existing and new chemicals. Within the Existing Substances Regulation in Europe, QSARs may be used for data evaluation, test strategy indications, and the identification and filling of data gaps. To illustrate where and when QSARs may be useful and when their use is more problematic, an example, methyl tertiary-butyl ether (MTBE), is given and the predicted and experimental data are compared. Improvements needed for new QSARs and tools for developing and using QSARs are discussed.

摘要

描述了利用定量构效关系(QSARs)推导离散有机化学品的预测无效应浓度,以用于在美国和欧洲进行监管风险评估。在美国,根据《有毒物质控制法》(TSCA),TSCA跨部门测试委员会和美国环境保护局(U.S. EPA)使用构效关系来估计现有化学品和新化学品的危害。在欧洲的《现有物质法规》范围内,QSARs可用于数据评估、测试策略指示以及数据缺口的识别和填补。为说明QSARs在何处以及何时可能有用,以及何时使用它们更具问题,给出了一个例子,即甲基叔丁基醚(MTBE),并比较了预测数据和实验数据。讨论了新QSARs所需的改进以及开发和使用QSARs的工具。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验