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(苯并)三唑类对水蚤和鱼类的毒性:经过验证的定量构效关系模型,以及种间定量活性-活性模型。

Daphnia and fish toxicity of (benzo)triazoles: validated QSAR models, and interspecies quantitative activity-activity modelling.

机构信息

QSAR Research Unit in Environmental Chemistry and Ecotoxicology, Department of Theoretical and Applied Sciences, University of Insubria, Varese, Italy.

出版信息

J Hazard Mater. 2013 Aug 15;258-259:50-60. doi: 10.1016/j.jhazmat.2013.04.025. Epub 2013 Apr 25.

Abstract

Due to their chemical properties synthetic triazoles and benzo-triazoles ((B)TAZs) are mainly distributed to the water compartments in the environment, and because of their wide use the potential effects on aquatic organisms are cause of concern. Non testing approaches like those based on quantitative structure-activity relationships (QSARs) are valuable tools to maximize the information contained in existing experimental data and predict missing information while minimizing animal testing. In the present study, externally validated QSAR models for the prediction of acute (B)TAZs toxicity in Daphnia magna and Oncorhynchus mykiss have been developed according to the principles for the validation of QSARs and their acceptability for regulatory purposes, proposed by the Organization for Economic Co-operation and Development (OECD). These models are based on theoretical molecular descriptors, and are statistically robust, externally predictive and characterized by a verifiable structural applicability domain. They have been applied to predict acute toxicity for over 300 (B)TAZs without experimental data, many of which are in the pre-registration list of the REACH regulation. Additionally, a model based on quantitative activity-activity relationships (QAAR) has been developed, which allows for interspecies extrapolation from daphnids to fish. The importance of QSAR/QAAR, especially when dealing with specific chemical classes like (B)TAZs, for screening and prioritization of pollutants under REACH, has been highlighted.

摘要

由于其化学性质,合成三唑和苯并三唑((B)TAZs)主要分布在环境中的水相,由于它们的广泛使用,对水生生物的潜在影响引起了关注。非测试方法,如基于定量结构-活性关系(QSARs)的方法,是一种有价值的工具,可以最大限度地利用现有实验数据中的信息,并在最小化动物测试的同时预测缺失信息。在本研究中,根据经济合作与发展组织(OECD)提出的 QSAR 验证原则及其在监管方面的可接受性,开发了用于预测大型溞和虹鳟鱼急性(B)TAZs 毒性的外部验证 QSAR 模型。这些模型基于理论分子描述符,具有统计学稳健性、外部预测性和可验证的结构适用性域。它们已被用于预测 300 多种无实验数据的(B)TAZs 的急性毒性,其中许多是 REACH 法规预注册清单中的物质。此外,还开发了一种基于定量活性-活性关系(QAAR)的模型,允许从溞类物种到鱼类进行种间外推。强调了 QSAR/QAAR 的重要性,特别是在处理(B)TAZs 等特定化学类别时,用于 REACH 下污染物的筛选和优先级排序。

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