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从化学结构预测毒性作用模式:综述

Predicting modes of toxic action from chemical structure: an overview.

作者信息

Bradbury S P

机构信息

U.S. Environmental Protection Agency, Environmental Research Laboratory, Duluth, MN 55804, USA.

出版信息

SAR QSAR Environ Res. 1994;2(1-2):89-104. doi: 10.1080/10629369408028842.

Abstract

In the field of environmental toxicology, and especially aquatic toxicology, quantitative structure activity relationships (QSARs) have developed as scientifically-credible tools for predicting the toxicity of chemicals when little or no empirical data are available. A basic and fundamental understanding of toxicological principles has been considered crucial to the continued acceptance and application of these techniques as biologically relevant. As a consequence, there has been an evolution of QSAR development and application from that of a chemical-class perspective to one that is more consistent with assumptions regarding modes of toxic action. The assessment of a compound's likely mode of toxic action is critical for a correct QSAR selection; incorrect mode of action-based QSAR selections can result in 10- to 1000-fold errors in toxicity predictions. The establishment of toxicologically-credible techniques to assess mode of toxic action from chemical structure requires toxicodynamic knowledge bases that are clearly defined with regard to exposure regimes and biological models/endpoints and based on compounds that adequately span the diversity of chemicals anticipated for future applications. With such knowledge bases classification systems, including rule-based experts systems, have been established for use in predictive aquatic toxicology applications.

摘要

在环境毒理学领域,尤其是水生毒理学领域,当几乎没有或完全没有实验数据时,定量构效关系(QSARs)已发展成为预测化学物质毒性的科学可信工具。对毒理学原理有基本和根本的理解,被认为对于这些技术作为具有生物学相关性的技术能否持续被接受和应用至关重要。因此,QSAR的发展和应用已从化学类别视角演变为更符合关于毒性作用模式假设的视角。评估化合物可能的毒性作用模式对于正确选择QSAR至关重要;基于错误的作用模式选择QSAR可能导致毒性预测出现10至1000倍的误差。要建立从化学结构评估毒性作用模式的毒理学可信技术,需要有明确界定暴露情况和生物学模型/终点的毒理学动力学知识库,且该知识库基于能充分涵盖预期未来应用中各种化学物质多样性的化合物。有了这样的知识库,已建立了包括基于规则的专家系统在内的分类系统,用于预测性水生毒理学应用。

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