首页> 外文期刊>Journal of Biomolecular Structure and Dynamics >Identification of new benzamide inhibitor against alpha-subunit of tryptophan synthase from Mycobacterium tuberculosis through structure-based virtual screening, anti-tuberculosis activity and molecular dynamics simulations
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Identification of new benzamide inhibitor against alpha-subunit of tryptophan synthase from Mycobacterium tuberculosis through structure-based virtual screening, anti-tuberculosis activity and molecular dynamics simulations

机译:基于结构的虚拟筛选,抗结核活性和分子动力学模拟,鉴定特异性结核分枝杆菌α亚甲酰亚基α-亚基α-亚基的鉴定

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Multi-drug-resistant tuberculosis and extensively drug-resistant tuberculosis has emerged as global health threat, causing millions of deaths worldwide. Identification of new drug candidates for tuberculosis (TB) by targeting novel and less explored protein targets will be invaluable for antituberculosis drug discovery. We performed structure-based virtual screening of eMolecules database against a homology model of relatively unexplored protein target: the alpha-subunit of tryptophan synthase (alpha-TRPS) from Mycobacterium tuberculosis essential for bacterial survival. Based on physiochemical properties analysis and molecular docking, the seven candidate compounds were selected and evaluated through whole cell-based activity against the H37Rv strain of M. tuberculosis. A new Benzamide inhibitor against alpha-subunit of tryptophan synthase (alpha-TRPS) from M. tuberculosis has been identified causing 100% growth inhibition at 25 mu g/ml and visible bactericidal activity at 6 mu g/ml. This benzamide inhibitor displayed a good predicted binding score (-48.24 kcal/mol) with the alpha-TRPS binding pocket and has logP value (2.95) comparable to Rifampicin. Further refinement of docking results and evaluation of inhibitor-protein complex stability were investigated through Molecular dynamic (MD) simulations studies. Following MD simulations, Root mean square deviation, Root mean square fluctuation and secondary structure analysis confirmed that protein did not unfold and ligand stayed inside the active pocket of protein during the explored time scale. This identified benzamide inhibitor against the alpha-subunit of TRPS from M. tuberculosis could be considered as candidate for drug discovery against TB and will be further evaluated for enzyme-based inhibition in future studies.
机译:多毒性结核和广泛的耐药结核病已成为全球卫生威胁,在全球造成数百万死亡。通过靶向新颖的鉴定结核病(TB)的新药物候选者对抗亚伯氏抗药物发现的鉴定性较少的蛋白质靶向蛋白酶蛋白患者。我们针对相对未开发的蛋白质目标的同源模型进行了基于结构的虚拟筛选:来自分枝杆菌结核病的色氨酸合酶(α-TRP)的α-亚基对细菌存活。基于物理化学性质分析和分子对接,选择七种候选化合物,并通过针对抗结核的H37RV菌株的全细胞基活动进行评价。已经鉴定了来自M.Tuberculosis的色氨酸合酶(α-TRP)α-亚基的新的苯甲酰胺抑制剂,在25μg/ ml下产生100%的生长抑制,并在6μg/ ml下的可见杀菌活性。该苯甲酰胺抑制剂与α-TRP结合口袋显示出良好的预测结合分数(-48.24 kcal / mol),并且具有与利福平的LOGP值(2.95)。通过分子动态(MD)模拟研究研究了进一步改进对接结果和抑制剂蛋白复合稳定性的评估。在MD模拟之后,均均方偏差,根均方波动和二次结构分析证实,在探索时间尺度期间,蛋白质并未展开和配体在蛋白质的活性口袋内。该鉴定的苯甲酰胺抑制剂抵抗M.结核病的TRP的α-亚基抑制剂可被认为是针对TB的药物发现的候选者,并将进一步评估未来研究中基于酶的抑制作用。

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