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[使用片段方法进行计算机化的logP预测]

[Computerized logP prediction using fragment methods].

作者信息

Takácsné N K

机构信息

Semmelweis Orvostudományi Egyetem, Gyógyszerészi Kémiai Intézet, Budapest.

出版信息

Acta Pharm Hung. 1998 Jan;68(1):39-48.

PMID:9528148
Abstract

Lipophilicity, expressed by the logarithm of octanol/water partition coefficient (logP) is an important physico-chemical property in rational drug design. Beside the experimental determination, the calculation of logP based on the chemical structure is frequently necessary. This has led to the development of numerous logP prediction methods. In the present paper the fragment type approaches and their computer softwares are surveyed (Table I.). The compilation is extended to the introduction and evaluation of a recently developed method of Meylan and Howard [21]: Atom/Fragment Contribution, AFC method (KOWWIN for Windows, software) which possesses the unique option, the Experimental Value Adjusted, EVA logP prediction. The author compared the highly precise experimental logP values of 28 drugs measured in her laboratory with calculated logP values obtained by four approaches: KOWWIN, CLOGP, PROLOGP, ACD/logP. The best prediction was found as follows in decreasing order: KOWWIN (r = 0.983), CLOGP (r = 0.978), PROLOGP/Combined (r = 0.953), ACD/logP (r = 0.942), PROLOGP/Atomic5 (r = 0.940), PROLOGP/Rekker (r = 0.909). The limits of current logP prediction methods (intramolecular H-bond formation, tautomerization, conformation changes, etc.) and the promising future of the molecular lipophilicity potential, MLP, [42] in drug design is also discussed.

摘要

用正辛醇/水分配系数的对数(logP)表示的亲脂性是合理药物设计中一项重要的物理化学性质。除了实验测定外,基于化学结构计算logP也常常是必要的。这促使了众多logP预测方法的发展。本文对片段类型方法及其计算机软件进行了综述(表I)。综述还扩展到了对Meylan和Howard [21]最近开发的一种方法的介绍和评估:原子/片段贡献法,即AFC法(适用于Windows的KOWWIN软件),该方法具有独特的选项——实验值调整后的EVA logP预测。作者将她实验室中测定的28种药物的高精度实验logP值与通过四种方法获得的计算logP值进行了比较:KOWWIN、CLOGP、PROLOGP、ACD/logP。发现最佳预测结果按降序排列如下:KOWWIN(r = 0.983)、CLOGP(r = 0.978)、PROLOGP/组合法(r = 0.953)、ACD/logP(r = 0.942)、PROLOGP/原子5法(r = 0.940)、PROLOGP/雷克尔法(r = 0.909)。还讨论了当前logP预测方法的局限性(分子内氢键形成、互变异构、构象变化等)以及分子亲脂性势(MLP)[42]在药物设计中充满希望的未来。

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