原卟啉原氧化酶抑制剂环状酰亚胺衍生物的定量构效关系:基于密度泛函理论的量子化学描述符研究

Quantitative structure-activity relationship for cyclic imide derivatives of protoporphyrinogen oxidase inhibitors: a study of quantum chemical descriptors from density functional theory.

作者信息

Wan Jian, Zhang Li, Yang Guangfu, Zhan Chang-Guo

机构信息

Key Laboratory of Pesticide & Chemical Biology (CCNU), Ministry of Education, College of Chemistry, Central China Normal University, Wuhan 430079, PR China.

出版信息

J Chem Inf Comput Sci. 2004 Nov-Dec;44(6):2099-105. doi: 10.1021/ci049793p.

Abstract

This study examined the applicability of various density functional theory (DFT)-based descriptors, such as energy gap (DeltaE) between the highest occupied molecular orbital (HOMO) and the lowest unoccupied molecular orbital (LUMO), weighted nucleophilic atomic frontier electron density (WNAFED, FNi), mean molecular polarizability (alpha), and net atomic charge (Qi), in quantitative structure-activity relationship (QSAR) studies on a class of important protoporphyrinogen oxidase (Protox) inhibitors including a series of cyclic imide derivatives with various heterocyclic rings and substituents. Our QSAR analysis using the quantum chemical descriptors calculated at the B3LYP/6-31G(d,p) level led to a useful explicit correlation relationship, i.e. pI50 = -5.7414 + 0.1424alpha - 0.0003alpha2 - 0.4546FNC* + 0.2974QN** (n=26, R2=0.87), showing that descriptors mean molecular polarizability, alpha, and WNAFED FNC* of a critical carbon atom and net atomic charge (Qi) in the molecules are most likely responsible for the in vitro biological activity of cyclic imides. It has been shown that the use of the DFT-based quantum chemical descriptors indeed led to a better QSAR equation than that obtained from the use of the corresponding descriptors calculated at a semiempirical PM3 level. The present work demonstrates that the DFT-based quantum chemical descriptors are potentially useful in the future QSAR studies for quantitatively predicting biological activity, and, therefore, the DFT-based QSAR approach could be expected to help facilitate the design of additional substituted cyclic imide derivatives of Protox inhibitors with the potentially higher biological activity.

摘要

本研究考察了各种基于密度泛函理论(DFT)的描述符在一类重要的原卟啉原氧化酶(Protox)抑制剂的定量构效关系(QSAR)研究中的适用性,这些描述符包括最高占据分子轨道(HOMO)与最低未占据分子轨道(LUMO)之间的能隙(ΔE)、加权亲核原子前沿电子密度(WNAFED,FNi)、平均分子极化率(α)和净原子电荷(Qi),该类抑制剂包括一系列带有各种杂环和取代基的环状酰亚胺衍生物。我们使用在B3LYP/6 - 31G(d,p)水平计算得到的量子化学描述符进行的QSAR分析得出了一个有用的显式相关关系,即pI50 = -5.7414 + 0.1424α - 0.0003α² - 0.4546FNC* + 0.2974QN**(n = 26,R² = 0.87),表明描述符分子的平均极化率α、关键碳原子的WNAFED FNC*以及分子中的净原子电荷(Qi)最有可能决定环状酰亚胺的体外生物活性。结果表明,与使用在半经验PM3水平计算得到的相应描述符相比,基于DFT的量子化学描述符确实能得出更好的QSAR方程。本研究表明,基于DFT的量子化学描述符在未来的QSAR研究中对于定量预测生物活性具有潜在的用途,因此,基于DFT的QSAR方法有望有助于促进设计具有潜在更高生物活性的Protox抑制剂的其他取代环状酰亚胺衍生物。

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