用半经验分子轨道法估计pKa。第1部分:酚类和羧酸的应用。

B. Tehan, E. J. Lloyd, M. Wong, W. Pitt, J. Montana, D. Manallack, E. Gancia
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引用次数: 101

摘要

利用半经验量子力学方法可以快速、准确地计算小分子的电子性质。在这项研究中,一组由前沿电子理论导出的QM性质被用于产生苯酚,苯甲酸和脂肪族羧酸的解离常数的预测模型。为此,从Physprop数据库中提取了近500种化合物的pK值和结构。使用多元线性回归来搜索pK a与计算的QM性质之间的关系。在大多数情况下,只需要一个独立的变量,即亲电超离域性,就可以得到一个好的pK - a模型。这种方法的优点在于计算速度快,所得到的模型简单。结合以往的研究,讨论了用半经验方法预测pK - a的优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of pKa Using Semiempirical Molecular Orbital Methods. Part 1: Application to Phenols and Carboxylic Acids.
The electronic properties of small molecules can be calculated quickly and with a reasonable degree of accuracy using semiempirical QM methods. In this study a set of QM properties derived from frontier electron theory have been used to produce a predictive model of the dissociation constants of phenols, benzoic acids and aliphatic carboxylic acids. The pK a values and structures of nearly 500 compounds were extracted from the Physprop database for this purpose. Multiple linear regression was used to search for relationships between pK a and the calculated QM properties. In most cases only a single independent variable, electrophilic superdelocalisability, was needed to produce a good model of pK a . The advantages of our approach are in the speed of calculation and the simplicity of the resultant models. The merits of using semiempirical methods to predict pK a are discussed in relation to previous studies.
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