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QSPR modeling of n-octanol/water partition coefficients and water solubility of PCDEs by the method of Cl substitution position

机译:Cl取代位置法对正辛醇/水分配系数和PCDEs的水溶性进行QSPR建模

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The number of Cl substitution positions (N_(PCS)) of all 209 possible molecular structure patterns of polychlorinated diphenyl ethers (PCDEs) were correlated with their partition properties n-octanol/water partition coefficient (lgK_(ow)) and sub-cooled liquid water solubilities (-lgS_(w,1)). The correlation coefficients (R) and the leave-one-out (LOO) cross-validation correlation coefficients (R_(cv)) of all the 6-descriptor models for lgK_(ow) and -lgS_(w,1) are more than 0.98. By using stepwise multiple regression (SMR), the best two models of lgK_(ow) with three descriptors (R=0.9913) and lgS_(w,1) with four descriptors(R=0.9818) were obtained respectively. Based on these equations, the two properties of all 209 PCDEs were predicted. Model validation showed that the two models exhibit optimum stability and high predictive power. Moreover, results of prediction were further compared with data from similar studies by molecular connectivity indices (MCIs) and PM3 methods.
机译:多氯联苯醚(PCDEs)的所有209种可能分子结构模式中的Cl取代位置数(N_(PCS))与它们的分配特性正辛醇/水分配系数(lgK_(ow))和过冷液体相关水溶性(-lgS_(w,1))。 lgK_(ow)和-lgS_(w,1)的所有6个描述符模型的相关系数(R)和留一法(LOO)交叉验证相关系数(R_(cv))大于0.98。通过使用逐步多元回归(SMR),分别获得了具有三个描述符(R = 0.9913)和具有四个描述符(R = 0.9818)的lgS_(w,1)的最佳两个模型。基于这些方程,可以预测所有209个PCDE的两个属性。模型验证表明,这两个模型表现出最佳的稳定性和较高的预测能力。此外,通过分子连通性指数(MCI)和PM3方法,将预测结果与类似研究的数据进行了进一步比较。

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