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基于分子表面静电势分布对亲脂性进行建模。

Modeling lipophilicity from the distribution of electrostatic potential on a molecular surface.

作者信息

Du Q, Arteca G A

机构信息

Department of Chemistry and Biochemistry, Laurentian University, Sudbury, ON, Canada.

出版信息

J Comput Aided Mol Des. 1996 Apr;10(2):133-44. doi: 10.1007/BF00402821.

Abstract

Molecular lipophilicity L is represented as a function of four surface electrostatic potential descriptors: L = f(B+F, B-F, B+R, B-R). Each B descriptor is computed from the products of elements of molecular surface area, delta(si), and the molecular electrostatic potential (MEP), V(ri), at the center of an area element: B = sigma(i) delta(si) V(r(i)). Octanol-water partition coefficients (P(ow)) are correlated with these four surface-MEP descriptors: log P(ow) = c0 + c1B+F + c2B-F + c3B+R + c4B-R. Good correlations are obtained for homologous series of aliphatic alcohols, amines and acids, as well as for a set of aromatic compounds with various functional groups. Within this approach, we find that the molecular fragment contributions of surface-MEP descriptions to log P are approximately additive. We have computed the values for the following fragments: -CH2-, -CH3, _COOH, -OH and -NH2. These contributions can be used to estimate the molecular lipophilicity and partition coefficients of new compounds, without additional quantum-mechanical calculations. The proposed approach provides a reasonably accurate tool that can be useful in quantitative structure-activity relations for computer-aided rational drug design. More importantly, the correlation model is conceptually simpler than previous work in the literature and can be improved systematically.

摘要

分子亲脂性L表示为四个表面静电势描述符的函数:L = f(B+F, B-F, B+R, B-R)。每个B描述符是根据分子表面积元素delta(si)与该面积元素中心处的分子静电势(MEP) V(ri)的乘积计算得出的:B = sigma(i) delta(si) V(r(i))。正辛醇-水分配系数(P(ow))与这四个表面-MEP描述符相关:log P(ow) = c0 + c1B+F + c2B-F + c3B+R + c4B-R。对于脂肪醇、胺和酸的同系物系列,以及一组具有各种官能团的芳香化合物,都获得了良好的相关性。在这种方法中,我们发现表面-MEP描述对log P的分子片段贡献近似可加。我们计算了以下片段的值:-CH2-、-CH3、_COOH、-OH和-NH2。这些贡献可用于估计新化合物的分子亲脂性和分配系数,而无需进行额外的量子力学计算。所提出的方法提供了一种相当准确的工具,可用于计算机辅助合理药物设计的定量构效关系。更重要的是,该相关模型在概念上比文献中以前的工作更简单,并且可以系统地改进。

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