In silico Evaluation of Indian Medicinal Plants to Find the Potential Remedy for Mycobacterium tuberculosis

C. Srinath, T. Raja, V. Umabarathi, A. Logeshwaran, P. Ravikumar
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Abstract

Tuberculosis (TB) is a disease caused by Mycobacterium tuberculosis bacterium. The bacterium primarily affects the lungs, but they can also harm other organs. The goal of this study was to identify potential phytocompounds from Indian medicinal plants that could be used to treat Tuberculosis. IMPPAT and the PubChem database were used to determine the 3D structure of phytocompounds. SwissADME was used to test the Lipinski rule of five for all phytocompounds. The target protein's 3D structure was downloaded from the PDB library. PyRx was used to conduct the docking studies, and Discovery Studio 2021 was used to analyse the results. The phytocompounds Diosgenin, Agapanthagenin, and Liquiritic acid showed very strong binding affinity of -9.6, -9.6, and -9.2 Kcal/mol, respectively, according to the results.
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寻找结核分枝杆菌潜在治疗药物的印度药用植物的计算机评价
结核病是由结核分枝杆菌引起的一种疾病。这种细菌主要影响肺部,但也会损害其他器官。本研究的目的是从印度药用植物中鉴定可能用于治疗结核病的潜在植物化合物。使用IMPPAT和PubChem数据库确定植物化合物的三维结构。使用SwissADME测试所有植物化合物的利平斯基五法则。从PDB库中下载目标蛋白的3D结构。PyRx被用来进行对接研究,探索工作室2021被用来分析结果。结果表明,薯蓣皂苷元、Agapanthagenin和Liquiritic acid的结合亲和力分别为-9.6、-9.6和-9.2 Kcal/mol。
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