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Quantitative Structure Activity Relationships (QSAR) for Binary Mixtures at Non-Equitoxic Ratios Based on Toxic Ratios-Effects Curves

机译:基于毒性比-效应曲线的非等毒性比的二元混合物定量结构活度关系(QSAR)

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The present study proposed a QSAR model to predict joint effects at non-equitoxic ratios for binary mixtures containing reactive toxicants, cyanogenic compounds and aldehydes. Toxicity of single and binary mixtures was measured by quantifying the decrease in light emission from the Photobacterium phosphoreum for 15 min. The joint effects of binary mixtures ( TU sum) can thus be obtained. The results showed that the relationships between toxic ratios of the individual chemicals and their joint effects can be described by normal distribution function. Based on normal distribution equations, the joint effects of binary mixtures at non-equitoxic ratios ( TU n:msum) can be predicted quantitatively using the joint effects at equitoxic ratios ( TU 1:1sum). Combined with a QSAR model of TU 1:1sum in our previous work, a novel QSAR model can be proposed to predict the joint effects of mixtures at non-equitoxic ratios ( TU n:msum). The proposed model has been validated using additional mixtures other than the one used for the development of the model. Predicted and observed results were similar ( p >0.05). This study provides an approach to the prediction of joint effects for binary mixtures at non-equitoxic ratios.
机译:本研究提出了一种QSAR模型,以预测含有反应性毒物,生氰化合物和醛的二元混合物在非等毒比下的联合作用。通过量化15分钟内从发光细菌发出的光的减少来测量单一混合物和二元混合物的毒性。因此可以获得二元混合物(TU sum )的联合效应。结果表明,各化学药品的毒性比与其共同作用之间的关系可以用正态分布函数来描述。基于正态分布方程,可以使用等毒性比下的联合效应定量预测非等毒性比(TU n:m sum )下的二元混合物的联合效应( TU 1:1 sum )。结合我们先前工作中TU 1:1 sum 的QSAR模型,可以提出一种新颖的QSAR模型来预测非等毒性比下的混合物的联合效应( TU n:m sum )。除了用于模型开发的混合物以外,还使用其他混合物对提出的模型进行了验证。预测结果与观察结果相似(p> 0.05)。这项研究提供了一种预测非等毒性比的二元混合物联合效应的方法。

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