Structure activity modeling of essential oils compounds and plant secondary metabolites: a Mini review of Antimicrobial Activity

Hanane Fikri, T. Fechtali, M. Timinouni, Y. Zouheir, Mohamed Mamoumi
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引用次数: 1

Abstract

The increasing incidence of microorganisms becoming resistant to antibiotics has continuously become a scientific community concern. Many essential oil components and plant secondary metabolites are known to possess broad spectrum antimicrobial activity, including against antibiotic resistant bacteria. These compounds may be a useful source of new and novel antimicrobials. However, there is limited research on the structure-activity relationship (SAR) of essential oil compounds, which is important for a target identification and lead optimization. Quantitative Structure Activity Relationships (QSAR or SAR) have helped scientists to establish mathematical relationships between molecular structures and their biological activities. This study aimed to elucidate SARs of essential oil components from experimental and literature sources. Minimum Inhibitory Concentrations (MICs) of essential oil components were collected against Escherichia coli and Staphylococcus aureus and then compared to those published in literature for identify or predict the best model for describing the antibacterial activity of new biologically active agents in the plant.
精油化合物和植物次生代谢物的结构活性建模:抗菌活性综述
越来越多的微生物对抗生素产生耐药性一直是科学界关注的问题。已知许多精油成分和植物次生代谢物具有广谱抗菌活性,包括抗抗生素耐药细菌。这些化合物可能是新型抗菌剂的有用来源。然而,目前对精油类化合物的构效关系研究较少,这对鉴定靶点和先导物的优化具有重要意义。定量结构活性关系(Quantitative Structure - Activity relations, QSAR或SAR)帮助科学家建立分子结构与其生物活性之间的数学关系。本研究旨在通过实验和文献资料阐明精油成分的非典型成分。收集精油成分对大肠杆菌和金黄色葡萄球菌的最低抑菌浓度(mic),然后与已发表的文献进行比较,以确定或预测描述植物中新的生物活性剂的抗菌活性的最佳模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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