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SMD和SM8模型预测中性溶质在甲醇、二甲亚砜和乙腈中溶剂化自由能的性能。

Performance of the SMD and SM8 models for predicting solvation free energy of neutral solutes in methanol, dimethyl sulfoxide and acetonitrile.

作者信息

Zanith Caroline C, Pliego Josefredo R

机构信息

Departamento de Ciências Naturais, Universidade Federal de São João del-Rei, São João del-Rei, MG, 36301-160, Brazil.

出版信息

J Comput Aided Mol Des. 2015 Mar;29(3):217-24. doi: 10.1007/s10822-014-9814-3. Epub 2014 Nov 15.

Abstract

The continuum solvation models SMD and SM8 were developed using 2,346 solvation free energy values for 318 neutral molecules in 91 solvents as reference. However, no solvation data of neutral solutes in methanol was used in the parametrization, while only few solvation free energy values of solutes in dimethyl sulfoxide and acetonitrile were used. In this report, we have tested the performance of the models for these important solvents. Taking data from literature, we have generated solvation free energy, enthalpy and entropy values for 37 solutes in methanol, 21 solutes in dimethyl sulfoxide and 19 solutes in acetonitrile. Both SMD and SM8 models have presented a good performance in methanol and acetonitrile, with mean unsigned error equal or less than 0.66 and 0.55 kcal mol(-1) in methanol and acetonitrile, respectively. However, the correlation is worse in dimethyl sulfoxide, where the SMD and SM8 methods present mean unsigned error of 1.02 and 0.95 kcal mol(-1), respectively. Our results point out the SMx family of models need be improved for dimethyl sulfoxide solvent.

摘要

连续介质溶剂化模型SMD和SM8是使用91种溶剂中318个中性分子的2346个溶剂化自由能值作为参考开发的。然而,在参数化过程中未使用中性溶质在甲醇中的溶剂化数据,而仅使用了溶质在二甲基亚砜和乙腈中的少数溶剂化自由能值。在本报告中,我们测试了这些模型在这些重要溶剂中的性能。我们从文献中获取数据,生成了37种溶质在甲醇中的溶剂化自由能、焓和熵值,21种溶质在二甲基亚砜中的溶剂化自由能、焓和熵值,以及19种溶质在乙腈中的溶剂化自由能、焓和熵值。SMD和SM8模型在甲醇和乙腈中均表现出良好的性能,在甲醇和乙腈中的平均绝对误差分别等于或小于0.66和0.55 kcal mol⁻¹。然而,在二甲基亚砜中的相关性较差,SMD和SM8方法在二甲基亚砜中的平均绝对误差分别为1.02和0.95 kcal mol⁻¹。我们的结果指出,对于二甲基亚砜溶剂,需要改进SMx系列模型。

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