In-Silico Consideration of Anti-Microbial Prospective of Plant Phenolic and Flavonoids

Amit Kumar, J. Malik
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Abstract

Abstract: Background: Pathogenic microorganism infections pose a serious threat to human health. The need for innovative, safe, and efficient antimicrobial medicines has been driven by rising drug resistance cases, unfavorable antibiotic side effects, and the reemergence of previously identified illnesses. Virtual screening techniques used in drug development, such as drug-likeness and ADMET analysis, use computation to quickly and cheaply identify compounds that are likely to demonstrate physiological activity. Methods: In this regard, the enzyme aminoacyl-tRNA synthetase (AaRS) has been the focus of recent research in the discovery of antibacterial agents. Docking studies were performed Molecular docking of aminoacyl-tRNA synthetase (AaRS) with chlorogenic acid, rutin, quercetin and gallic acid was carried out by AutoDock. Results: The molecular docking result revealed that chlorogenic acid, gallic acid, quercetin and rutin showed encouraging docking score. Hence from above finding it can be predicted that phenolics and flavonoids found in the plants extract exhibited good inhibitor of IleRS enzyme.
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植物酚类和黄酮类化合物抑菌前景的计算机模拟研究
摘要:背景:病原微生物感染对人类健康构成严重威胁。不断增加的耐药性病例、不利的抗生素副作用以及以前发现的疾病的重新出现,推动了对创新、安全和有效的抗菌药物的需求。用于药物开发的虚拟筛选技术,如药物相似性和ADMET分析,使用计算来快速和廉价地识别可能表现出生理活性的化合物。方法:在这方面,氨基酰基trna合成酶(AaRS)是近年来发现抗菌剂的研究热点。利用AutoDock软件对氨基酰基trna合成酶(AaRS)与绿原酸、芦丁、槲皮素和没食子酸进行分子对接。结果:分子对接结果显示绿原酸、没食子酸、槲皮素和芦丁的对接评分较高。由此可以预测,植物提取物中的酚类物质和黄酮类物质具有较好的抑酶作用。
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