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QSAR study on toxicity to aqueous organisms using the PI index.

机译:使用PI指数的QSAR研究对水生生物的毒性。

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摘要

We have attempted to develop quantitative structure-toxicity relationships (QSTRs) to predict hydrophobicity (logP) as well as toxicity (pEC50 microm) of benzene derivatives using recently introduced Padmakar-Ivan (PI) index. The results have shown that both logP as well as pEC50 of benzene derivatives can be modelled excellently in multiparametric models in that the PI index and some indicator parameters are involved. The predictive ability of the models is discussed on the basis of the cross-validation method. The superiority of the PI index over several other topological indices is critically examined.
机译:我们尝试使用最近引入的Padmakar-Ivan(PI)指数来开发定量结构-毒性关系(QSTR),以预测苯衍生物的疏水性(logP)以及毒性(pEC50微米)。结果表明,苯衍生物的logP和pEC50均可在多参数模型中很好地建模,因为它涉及PI指数和一些指标参数。在交叉验证方法的基础上讨论了模型的预测能力。严格检查了PI指数相对于其他几种拓扑指数的优越性。

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