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QSPR/QSAR Study of Mercaptans by Quantum Topological Method

机译:QSPR / QSAR对硫醇的研究用量子拓扑方法

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A new molecular quantum topological index QT was constructed by molecular topological methods and quantum mechanics (QM), which together with Gibbs free energy(G), Constant volume mole hot melting(CV) that were calculated by density functional theory (DFT) at the B3LYP/6-31G(d) level of theory for mercaptans. Index QT can not only efficiently distinguish molecular structures of mercaptans, but also possess good applications of QSPR/QSAR (quantitative structure-property/activity relationships). And most of the correlation coefficients of the models were over 0.99. The LOO CV (leave-one-out cross-validation) method was used to testify the stability and predictive ability of the models. The validation results verified the good stability and predictive ability of the models employing the cross-validation parameters: R_cy), S_(cv) and F_(cv), which demonstrated the wide potential of the index QT for applications to QSPR/ QSAR.
机译:通过分子拓扑方法和量子力学(QM)构建了一种新的分子量子拓扑指标QT,该量子力学(QM)与吉布斯自由能(G),恒定体积摩尔热熔(CV)一起通过密度函数理论(DFT)计算B3LYP / 6-31G(d)硫醇的理论水平。指数QT不仅可以有效地区分硫醇的分子结构,而且还具有QSPR / QSAR的良好应用(定量结构 - 财产/活动关系)。而且模型的大多数相关系数超过0.99。 LOO CV(休留次外交叉验证)方法用于验证模型的稳定性和预测能力。验证结果验证了使用交叉验证参数的模型的良好稳定性和预测能力:r_cy),s_(cv)和f_(cv),其展示了索引Qt的广泛电位,用于QSPR / QSAR。

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