Research Unit in Bioinformatics (RUBi), Department of Biochemistry and Microbiology, Rhodes University, Grahamstown 6140, South Africa.
Department of Biochemistry, Abdul Wali Khan University Mardan (AWKUM), Mardan 23200, Pakistan.
Molecules. 2022 Jan 28;27(3):885. doi: 10.3390/molecules27030885.
Tuberculosis (TB), caused by the infection, continues to be a leading cause of morbidity and mortality in developing countries. Resistance to the first-line anti-TB drugs, isoniazid (INH) and rifampicin (RIF), is a major drawback to effective TB treatment. Genetic mutations in the β-subunit of the DNA-directed RNA polymerase () are reported to be a major reason of RIF resistance. However, the structural basis and mechanisms of these resistant mutations are insufficiently understood. In the present study, thirty drug-resistant mutants of were initially modeled and screened against RIF via a comparative molecular docking analysis with the wild-type (WT) model. These analyses prioritized six mutants (Asp441Val, Ser456Trp, Ser456Gln, Arg454Gln, His451Gly, and His451Pro) that showed adverse binding affinities, molecular interactions, and RIF binding hinderance properties, with respect to the WT. These mutant models were subsequently analyzed by molecular dynamics (MD) simulations. One-hundred nanosecond all-atom MD simulations, binding free energy calculations, and a dynamic residue network analysis (DRN) were employed to exhaustively assess the impact of mutations on RIF binding dynamics. Considering the global structural motions and protein-ligand binding affinities, the Asp441Val, Ser456Gln, and His454Pro mutations generally yielded detrimental effects on RIF binding. Locally, we found that the electrostatic contributions to binding, particularly by Arg454 and Glu487, might be adjusted to counteract resistance. The DRN analysis revealed that all mutations mostly distorted the communication values of the critical hubs and may, therefore, confer conformational changes in rpoB to perturb RIF binding. In principle, the approach combined fundamental molecular modeling tools for robust "global" and "local" level analyses of structural dynamics, making it well suited for investigating other similar drug resistance cases.
结核病(TB)是由结核分枝杆菌引起的,仍然是发展中国家发病率和死亡率的主要原因。对一线抗结核药物异烟肼(INH)和利福平(RIF)的耐药性是有效治疗 TB 的主要障碍。据报道,DNA 指导的 RNA 聚合酶β亚基的基因突变是 RIF 耐药的主要原因。然而,这些耐药突变的结构基础和机制还没有得到充分的理解。在本研究中,最初通过与野生型(WT)模型的比较分子对接分析,对 30 种耐药突变体进行了建模和筛选,以对抗 RIF。这些分析确定了六个突变体(Asp441Val、Ser456Trp、Ser456Gln、Arg454Gln、His451Gly 和 His451Pro),它们表现出不利的结合亲和力、分子相互作用和 RIF 结合阻碍特性,与 WT 相比。随后对这些突变体模型进行了分子动力学(MD)模拟。采用 100 纳秒全原子 MD 模拟、结合自由能计算和动态残基网络分析(DRN),全面评估突变对 RIF 结合动力学的影响。考虑到全局结构运动和蛋白质-配体结合亲和力,Asp441Val、Ser456Gln 和 His454Pro 突变通常对 RIF 结合产生不利影响。局部地,我们发现结合的静电贡献,特别是 Arg454 和 Glu487,可能会进行调整以抵消耐药性。DRN 分析表明,所有突变主要扭曲了关键枢纽的通讯值,因此可能导致 rpoB 构象变化,从而扰乱 RIF 结合。原则上,该方法结合了基本的分子建模工具,用于对结构动力学进行稳健的“全局”和“局部”水平分析,非常适合研究其他类似的耐药性案例。