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使用半经验电拓扑指数估算脂肪族有机化合物的辛醇/水分配系数。

Estimating the octanol/water partition coefficient for aliphatic organic compounds using semi-empirical electrotopological index.

机构信息

Departamento de Química, Universidade Federal de Santa Catarina, Campus Universitário, Trindade, Florianópolis, SC 88040-970, Brazil; E-Mails:

出版信息

Int J Mol Sci. 2011;12(10):7250-64. doi: 10.3390/ijms12107250. Epub 2011 Oct 24.

Abstract

A new possibility for estimating the octanol/water coefficient (log P) was investigated using only one descriptor, the semi-empirical electrotopological index (I(SET)). The predictability of four octanol/water partition coefficient (log P) calculation models was compared using a set of 131 aliphatic organic compounds from five different classes. Log P values were calculated employing atomic-contribution methods, as in the Ghose/Crippen approach and its later refinement, AlogP; using fragmental methods through the ClogP method; and employing an approach considering the whole molecule using topological indices with the MlogP method. The efficiency and the applicability of the I(SET) in terms of calculating log P were demonstrated through good statistical quality (r > 0.99; s < 0.18), high internal stability and good predictive ability for an external group of compounds in the same order as the widely used models based on the fragmental method, ClogP, and the atomic contribution method, AlogP, which are among the most used methods of predicting log P.

摘要

使用仅一个描述符,半经验电拓扑指数(I(SET)),研究了一种估算辛醇/水系数(log P)的新可能性。使用来自五个不同类别的 131 种脂肪族有机化合物的数据集,比较了四种辛醇/水分配系数(log P)计算模型的可预测性。使用原子贡献方法计算 log P 值,如 Ghose/Crippen 方法及其后续改进的 AlogP;使用片段方法通过 ClogP 方法;并使用拓扑指数方法考虑整个分子,使用 MlogP 方法。通过良好的统计质量(r > 0.99;s < 0.18)、高内部稳定性和对同组化合物的良好预测能力,证明了 I(SET)在计算 log P 方面的效率和适用性,其预测能力与基于片段方法的广泛使用的模型,ClogP,以及原子贡献方法,AlogP,相当,这些方法是预测 log P 最常用的方法之一。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e63c/3211036/059c22ac6e60/ijms-12-07250f1.jpg

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