Quantitative Activity Structure Relationship (QSAR) of a Series of Azetidinones Derived from Dapsone by the Method of Density Functional Theory (DFT)

Jean Stéphane N’dri, M. Koné, C. Kodjo, S. T. Affi, Ahmont Landry Claude Kablan, O. Ouattara, Doh Soroand, N. Ziao
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引用次数: 7

Abstract

This QSAR study, which involved a series of Azetidinones derived from 4,4'-diaminodiphenylsulfone (dapsone), yielded two models based on molecular descriptors and the antibacterial activities Escherichia coli and Staphylococcus aureus.The molecular descriptors were obtained by applying the methods of quantum chemistry at the B3LYP/6-31G (d) level. The statistical indicators of the first model which is a function of the Escherichia coli activity are: the coefficient of determination R 2 equals 0.992, the standard deviation S equals 0.342, the Fischer coefficient F equals 185.088 and the cross-validation coefficient Q 2 CV equals 0.992. Those of the second model showing the activity of Staphylococcus aureus are: the regression coefficient R 2 = 0.987, a standard deviation S=0.193, the Fischer coefficient F=114.955 and the cross-validation coefficient Q 2 CV = 0.987. These models have good statistical performances. The quantum descriptors of dipole moment (μ), global softness (σ) and electronegativity (χ) are responsible of the antibacterial activity of the Azetidinones derived from dapsone. In addition, the dipole moment is the priority descriptor for the prediction of the antibacterial activity of the studied compounds. The Eriksson et al. acceptance criteria used for the test set is verified. The values of the dtheo/dexp ratio of the theoretical and experimental activities for the test set tend towards unity.
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密度泛函理论(DFT)方法研究氨苯砜衍生的一系列氮杂二酮的定量活性结构关系
本QSAR研究涉及一系列由4,4'-二氨基二苯砜(氨苯砜)衍生的氮杂二酮,基于分子描述符和抗菌活性建立了两个模型大肠杆菌和金黄色葡萄球菌。应用量子化学方法在B3LYP/6-31G (d)水平上获得了分子描述符。第一个模型的统计指标为:决定系数r2 = 0.992,标准差S = 0.342, Fischer系数F = 185.088,交叉验证系数q2 CV = 0.992。第二个金黄色葡萄球菌活性模型的回归系数r2 = 0.987,标准差S=0.193, Fischer系数F=114.955,交叉验证系数q2 CV = 0.987。这些模型具有良好的统计性能。偶极矩(μ)、整体柔软度(σ)和电负性(χ)的量子描述子对氨苯砜衍生物的抑菌活性起重要作用。此外,偶极矩是预测所研究化合物抗菌活性的优先描述符。验证了Eriksson等人用于测试集的验收标准。理论活动和实验活动对测试集的dtheo/dexp比值值趋于一致。
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