Department of Food Science and Nutrition, Zhejiang University, Hangzhou 310058, China.
J Zhejiang Univ Sci B. 2012 Feb;13(2):83-93. doi: 10.1631/jzus.B1100049.
Fatty acids and derivatives (FADs) are resources for natural antimicrobials. In order to screen for additional potent antimicrobial agents, the antimicrobial activities of FADs against Staphylococcus aureus were examined using a microplate assay. Monoglycerides of fatty acids were the most potent class of fatty acids, among which monotridecanoin possessed the most potent antimicrobial activity. The conventional quantitative structure-activity relationship (QSAR) and comparative molecular field analysis (CoMFA) were performed to establish two statistically reliable models (conventional QSAR: R(2)=0.942, Q(2)(LOO)=0.910; CoMFA: R(2)=0.979, Q(2)=0.588, respectively). Improved forecasting can be achieved by the combination of these two models that provide a good insight into the structure-activity relationships of the FADs and that may be useful to design new FADs as antimicrobial agents.
脂肪酸及其衍生物(FADs)是天然抗菌剂的资源。为了筛选出更多具有潜力的抗菌剂,采用微孔板法检测了 FADs 对金黄色葡萄球菌的抗菌活性。脂肪酸的单甘油酯是最有效的脂肪酸类别,其中单十三烷酸甘油酯具有最强的抗菌活性。进行了常规的定量构效关系(QSAR)和比较分子场分析(CoMFA),以建立两个具有统计学意义的可靠模型(常规 QSAR:R(2)=0.942,Q(2)(LOO)=0.910;CoMFA:R(2)=0.979,Q(2)=0.588)。通过将这两个模型相结合,可以实现更好的预测,为 FADs 的构效关系提供了良好的见解,这可能有助于设计新的 FADs 作为抗菌剂。