Narasimhan Balasubramanian, Judge Vikramjeet, Narang Rakesh, Ohlan Ruchita, Ohlan Sucheta
Department of Pharmaceutical Sciences, Guru Jambheshwar University of Science and Technology, Hisar, Haryana 125001, India.
Bioorg Med Chem Lett. 2007 Nov 1;17(21):5836-45. doi: 10.1016/j.bmcl.2007.08.037. Epub 2007 Aug 21.
A new series of 2,4-hexadienoic acid derivatives (S(1)-S(42)) has been synthesized and evaluated as antimicrobial agents against Staphylococcus aureus, Bacillus subtilis, Escherichia coli, Candida albicans, and Aspergillus niger. Quantitative structure-activity relationship (QSAR) investigation using Hansch analysis was applied to find out correlation between antimicrobial activities with physicochemical properties of the synthesized compounds. Various physicochemical descriptors and experimentally determined minimum inhibitory concentration values for different microorganisms were used as independent and dependent variables, respectively. The QSAR revealed that topological parameters especially molecular connectivity indices (chi(2), (0)chi(v), (2)chi(v)) were found to have overall significant correlation with antimicrobial activity of 2,4-hexadienoic acid derivatives. The statistical results of training set, cross-validated r(2) and conventional r values gave reliability to the prediction of molecules with activity using QSAR models.
已合成了一系列新的2,4-己二烯酸衍生物(S(1)-S(42)),并对其作为抗金黄色葡萄球菌、枯草芽孢杆菌、大肠杆菌、白色念珠菌和黑曲霉的抗菌剂进行了评估。运用Hansch分析进行定量构效关系(QSAR)研究,以找出合成化合物的抗菌活性与物理化学性质之间的相关性。分别将各种物理化学描述符和针对不同微生物实验测定的最低抑菌浓度值用作自变量和因变量。QSAR表明,拓扑参数尤其是分子连接性指数(χ(2)、(0)χ(v)、(2)χ(v))与2,4-己二烯酸衍生物的抗菌活性总体上具有显著相关性。训练集、交叉验证的r(2)和常规r值的统计结果为使用QSAR模型预测具有活性的分子提供了可靠性。