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Development of an ecotoxicity QSAR model for the KAshinhou Tool for Ecotoxicity (KATE) system March 2009 version

机译:为KAshinhou生态毒性工具(KATE)系统开发生态毒性QSAR模型2009年3月版

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摘要

The KAshinhou Tool for Ecotoxicity (KATE) system, including ecotoxicity quantitative structure–activity relationship (QSAR) models, was developed by the Japanese National Institute for Environmental Studies (NIES) using the database of aquatic toxicity results gathered by the Japanese Ministry of the Environment and the US EPA fathead minnow database. In this system chemicals can be entered according to their one-dimensional structures and classified by substructure. The QSAR equations for predicting the toxicity of a chemical compound assume a linear correlation between its log P value and its aquatic toxicity. KATE uses a structural domain called C-judgement, defined by the substructures of specified functional groups in the QSAR models. Internal validation by the leave-one-out method confirms that the QSAR equations, with r2>0.7, RMSE ≤0.5, and n>5, give acceptable q2 values. Such external validation indicates that a group of chemicals with an in-domain of KATE C-judgements exhibits a lower root mean square error (RMSE). These findings demonstrate that the KATE system has the potential to enable chemicals to be categorised as potential hazards.
机译:日本国立环境研究所(NIES)使用日本环境省收集的水生毒性结果数据库开发了KAshinhou生态毒性工具(KATE)系统,包括生态毒性定量结构-活性关系(QSAR)模型以及美国EPA的黑头min鱼数据库。在该系统中,化学品可以根据其一维结构输入,并可以按子结构分类。用于预测化合物毒性的QSAR方程假设其log P值与其水生毒性之间存在线性关系。 KATE使用称为C判断的结构域,该域由QSAR模型中指定功能组的子结构定义。通过留一法进行内部验证,确认r 2 5的QSAR方程给出可接受的q 2 值。这种外部验证表明,一组具有KATE C判断域内的化学药品表现出较低的均方根误差(RMSE)。这些发现表明,KATE系统具有将化学物质归类为潜在危害的潜力。

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