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基于密度泛函理论的量子理论定量构效关系研究:芳香族和杂环磺酰胺类化合物作为碳酸酐酶同工酶CA-II抑制剂的研究

A DFT-based quantum theoretic QSAR study of aromatic and heterocyclic sulfonamides as carbonic anhydrase inhibitors against isozyme, CA-II.

作者信息

Eroglu Erol, Türkmen Hasan

机构信息

Harran University, Physics Department, Osmanbey Kampus, 6300 Sanliurfa, Turkey.

出版信息

J Mol Graph Model. 2007 Nov;26(4):701-8. doi: 10.1016/j.jmgm.2007.03.015. Epub 2007 Apr 4.

Abstract

In this study, DFT/B3LYP level of theory with the 6-31G (d) basis set, was used to calculate a set of molecular descriptors of 30 sulfonamide compounds with carbonic anhydrase inhibitory activity. Quantitative structure-activity relationship (QSAR) models of the biological activity (K(i)) of 30 inhibitors of carbonic anhydrase (CA-II) were established using some of the following calculated quantum mechanical descriptors, dipole moment (mu), average polarizability (P), ionization potential (I), electron affinity (A), LUMO energy (epsilon(LUMO)), HOMO energy (epsilon(HOMO)), total energy at 0K (Te), entropy at 298K (S), electronegativity (chi), hardness (eta), electrophilicity (omega), and differences between HOMO and LUMO energies (epsilon(H)-epsilon(L)). The QSAR models obtained by employing multiple linear regression techniques are aimed at correlating the structures to their reported experimental inhibitory activity values, K(i). Among the models presented in this study, statistically the most significant one is a four-parameter linear equation with correlation coefficient, R(2) values of ca. 0.847 and the cross-validated correlation coefficient, R values of ca. 0.775. This study also reconstructed the obtained models using AM1-based calculated descriptors to demonstrate the superiority of DFT over AM1 for quantum calculations of mechanical descriptors. The results are discussed in the light of the main factors that influence the inhibitory activity of carbonic anhydrase (CA-II) isozyme.

摘要

在本研究中,采用密度泛函理论(DFT)/B3LYP方法结合6-31G(d)基组,计算了30种具有碳酸酐酶抑制活性的磺酰胺类化合物的一组分子描述符。利用以下部分计算得到的量子力学描述符,即偶极矩(μ)、平均极化率(P)、电离势(I)、电子亲和能(A)、最低未占分子轨道能量(εLUMO)、最高已占分子轨道能量(εHOMO)、0K时的总能量(Te)、298K时的熵(S)、电负性(χ)、硬度(η)、亲电性(ω)以及最高已占分子轨道和最低未占分子轨道能量之差(εH - εL),建立了30种碳酸酐酶(CA-II)抑制剂生物活性(Ki)的定量构效关系(QSAR)模型。采用多元线性回归技术得到的QSAR模型旨在将结构与其报道的实验抑制活性值Ki相关联。在本研究提出的模型中,统计上最显著的一个是四参数线性方程,相关系数R2约为0.847,交叉验证相关系数R约为0.775。本研究还使用基于AM1计算的描述符重建了所得模型,以证明在分子力学描述符的量子计算方面,DFT优于AM1。根据影响碳酸酐酶(CA-II)同工酶抑制活性的主要因素对结果进行了讨论。

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