虚拟筛选、对接、ADMET和分子动力学:寻找靶向QcrB的新型结核分枝杆菌抑制剂的研究

IF 0.4 Q4 CHEMISTRY, MULTIDISCIPLINARY Jordan Journal of Chemistry Pub Date : 2021-12-30 DOI:10.47014/16.3.4
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引用次数: 1

摘要

摘要:分枝杆菌感染的主要治疗难点是对抗分枝杆菌药物的耐药性。从这个角度来看,探索不同的靶点、寻找新型化学支架和不同的结核病治疗方法都是必要的基本措施。在同样的背景下,分枝杆菌的氧化磷酸化受到了很多关注。它包括电子传输系统,该系统包含细胞色素bc1复合物(QcrB)的细胞色素B成分,这是一个有前途的治疗靶点。抗结核药物Q203(Telacebec)目前处于2期临床试验中,可抑制细胞色素B。本研究包括从“Zinc15”化学数据库中进行的虚拟筛选研究,以Q203为参考分子,使用同源建模、分子对接和模拟研究创建蛋白质。构建的蛋白质显示出相当大的可靠性,因为Ramachandran图的结果显示,92.8%的氨基酸残基位于有利区域,ERRAT评分(总体质量因子)为92.48%,ProSA评分(Z评分)为-5.78。通过基于结构的虚拟筛选识别的命中分子遵循利平斯基五规则。对接结果表明,结合亲和力值范围为–7.19至–9.10 kcal/mol。排名前三的化合物分别是ZINC64033452、ZINC3816287和ZINC3830215,它们的对接得分均高于参考配体(-7.70 kcal/mol)。Leu174、Pro306、Ser304、Leu180、Glu314和Thr313是覆盖蛋白质活性位点的残基。在Q203和氨基酸残基Glu314和Thr313的前三个分子的对接研究中观察到了氢键,并且在整个动力学研究中是一致的。在20ns的动力学运行中,在8ns之后发现了命中分子和Q203的稳定RMSD。根据潜在的发现,我们报告称,所选的候选药物更有可能被用作抗分枝杆菌药物,或作为开发新型强效抗结核药物的起点。
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Virtual Screening, Docking, ADMET and Molecular Dynamics: A Study to Find Novel Inhibitors of Mycobacterium tuberculosis Targeting QcrB
Abstract: A major difficulty in the treatment of mycobacterial infection is its resistance against anti-mycobacterial drugs. Exploration of diverse targets, the search for novel chemical scaffolds and different methods of tuberculosis treatment are all basic measures needed in this perspective. In the same context, mycobacterial oxidative phosphorylation has received a lot of interest. It includes the electron transport system, which encompasses the cytochrome B component of the cytochrome bc1 complex (QcrB) which is a promising therapeutic target. The anti-tubercular drug Q203 (Telacebec), which is currently in phase 2 clinical trial, inhibits cytochrome B. The present study includes virtual screening studies from the ‘Zinc15’ chemical database, taking Q203 as a reference molecule, the creation of protein using homology modeling, molecular docking as well as simulation studies. The constructed protein showed considerable reliability, as results of the Ramachandran plot showed 92.8% amino acid residues in the favoured region, ERRAT score (overall quality factor) of 92.48% with ProSA (Z score) of –5.78. The hit molecules identified by structure-based virtual screening follow the Lipinski rule of five. The docking results indicated binding affinity values ranging from –7.19 to –9.10 kcal/mol. The top three compounds were ZINC64033452, ZINC3816287 and ZINC3830215, each having a higher docking score than the reference ligand (–7.70 kcal/mol). Leu174, Pro306, Ser304, Leu180, Glu314 and Thr313 are among the residues that cover the protein’s active site. The H-bond was observed in docking studies for Q203 and top three molecules from amino acid residues Glu314 and Thr313 and was consistent throughout dynamics studies. In a dynamics run of 20 ns, a stable RMSD was found after 8 ns for hit-molecules and Q203. Based on potential findings, we report that selected candidates are more likely to be used as anti-mycobacterial agents or as starting leads for the development of novel and potent anti-tubercular agents.
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Jordan Journal of Chemistry
Jordan Journal of Chemistry CHEMISTRY, MULTIDISCIPLINARY-
CiteScore
0.50
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7
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