a Department of Chemistry , COMSATS Institute of Information Technology , Abbottabad 22060 , Pakistan.
b Skaggs School of Pharmacy & Pharmaceutical Sciences , University of California , San Diego , CA , USA.
J Biomol Struct Dyn. 2019 Mar;37(4):1043-1053. doi: 10.1080/07391102.2018.1448303. Epub 2018 Mar 13.
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 α-subunit of tryptophan synthase (α-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 α-subunit of tryptophan synthase (α-TRPS) from M. tuberculosis has been identified causing 100% growth inhibition at 25 μg/ml and visible bactericidal activity at 6 μg/ml. This benzamide inhibitor displayed a good predicted binding score (-48.24 kcal/mol) with the α-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 α-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.
耐多药结核病和广泛耐药结核病已成为全球健康威胁,导致全球数百万人死亡。针对新型和探索较少的蛋白质靶标,鉴定结核病(TB)的新药物候选物对于抗结核药物发现将具有巨大价值。我们针对相对未探索的蛋白质靶标:分枝杆菌色氨酸合酶(α-TRPS)的同源模型,对 eMolecules 数据库进行了基于结构的虚拟筛选,该靶标对细菌的生存至关重要。基于物理化学性质分析和分子对接,选择了 7 种候选化合物,并通过对 H37Rv 株分枝杆菌的全细胞活性进行评估。已经鉴定出一种针对分枝杆菌色氨酸合酶(α-TRPS)的新型苯甲酰胺抑制剂,在 25μg/ml 时可导致 100%的生长抑制,在 6μg/ml 时可显示杀菌活性。该苯甲酰胺抑制剂与α-TRPS 结合口袋具有良好的预测结合评分(-48.24kcal/mol),并且 logP 值(2.95)与利福平相当。通过分子动力学(MD)模拟研究进一步研究了对接结果的细化和抑制剂-蛋白复合物稳定性的评估。在 MD 模拟之后,均方根偏差、均方根波动和二级结构分析证实,在探索的时间尺度内,蛋白质没有展开,配体仍然留在蛋白质的活性口袋内。这种针对分枝杆菌 TRPS 的 α-亚基的苯甲酰胺抑制剂可被视为针对 TB 的药物发现的候选物,并将在未来的研究中进一步评估基于酶的抑制作用。