Podunavac-Kuzmanović Sonja O, Cvetković Dragoljub D, Jevrić Lidija R, Uzelac Natasa J
Department of Applied and Engineering Chemistry, Faculty of Technology, University of Novi Sad, Bul. Cara Lazara 1, 21000 Novi Sad, Serbia.
Acta Chim Slov. 2013;60(1):26-33.
A quantitative structure activity relationship (QSAR) has been carried out on a series of benzimidazole derivatives to identify the structural requirements for their inhibitory activity against yeast Saccharomyces cerevisiae. A multiple linear regression (MLR) procedure was used to model the relationships between various physicochemical, steric, electronic, and structural molecular descriptors and antifungal activity of benzimidazole derivatives. The QSAR expressions were generated using a training set of 16 compounds and the predictive ability of the resulting models was evaluated against a test set of 8 compounds. The best QSAR models were further validated by leave one out technique as well as by the calculation of statistical parameters for the established theoretical models. Therefore, satisfactory relationships between antifungal activity and molecular descriptors were found. QSAR analysis reveals that lipophilicity descriptor (logP), dipole moment (DM) and surface area grid (SAG) govern the inhibitory activity of compounds studied against Saccharomyces cerevisiae.
已对一系列苯并咪唑衍生物进行了定量构效关系(QSAR)研究,以确定其对酿酒酵母抑制活性的结构要求。采用多元线性回归(MLR)程序对苯并咪唑衍生物的各种物理化学、空间、电子和结构分子描述符与抗真菌活性之间的关系进行建模。使用16种化合物的训练集生成QSAR表达式,并针对8种化合物的测试集评估所得模型的预测能力。通过留一法技术以及对已建立理论模型的统计参数计算,进一步验证了最佳QSAR模型。因此,发现了抗真菌活性与分子描述符之间令人满意的关系。QSAR分析表明,亲脂性描述符(logP)、偶极矩(DM)和表面积网格(SAG)决定了所研究化合物对酿酒酵母的抑制活性。