Identification of potential inhibitors against Corynebacterium diphtheriae MtrA response regulator protein; an in-silico drug discovery approach

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Zunera Khalid , Amen Shamim , Mohamed J. Saadh , Ahmed Alafnan , Mohd Alaraj , Muhammad Hassan Butt , Tehreem Ashraf
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Abstract

Corynebacterium diphtheriae is a multi-drug resistant bacteria responsible for the life-threatening respiratory illness, diphtheria which can lead to severe Nervous system disorders, mainly infecting the lungs, heart, and kidneys if left untreated. In the current study, Corynebacterium diphtheriae MtrA response regulator protein was targeted, which regulates a two-component system of bacterial pathogenesis, and initiates DNA replication and cell division. In the current study a computational approach have been described for drug development against C. diphtheriae infections by inhibiting MtrA protein by small molecules acting as potential inhibitors against it. Molecular docking analysis of the equilibrated MtrA protein revealed compound-0.2970, compound-0.3029, and compound-0.3016 from Asinex Library as the promising inhibitors based on their lowest binding energies (−9.8 kJ/mol, −9.2 kJ/mol, and −8.9 kJ/mol), highest gold scores (40.53, 47.41, and 48.41), drug-likeness and pharmacokinetic properties. The MD simulation studies of the identified top-ranked inhibitors at 100 ns elucidated the system stability and fluctuations in the binding pocket of MtrA protein. Molecular Dynamics Simulations of the top three docked complexes further revealed that the standard binding pocket was retained ensuring the system stability. The rearrangements of H-bonds, van der Waals, pi-pi, and solid hydrophobic interactions were also observed. The binding free energy calculations (MM/PBSA and MM/GBSA) suggested a fundamental binding capability of the ligand to the target receptor MtrA. Therefore, the current study has provided excellent candidates acting as potent inhibitors for developing therapeutic drugs against C. diphtheriae infections. However, in vivo and in vitro animal experiments and accurate clinical trials are needed to validate the potential inhibitory effect of these compounds.

Abstract Image

鉴定白喉棒状杆菌 MtrA 反应调节蛋白的潜在抑制剂;一种在实验室中发现药物的方法。
白喉棒状杆菌(Corynebacterium diphtheriae)是一种具有多重耐药性的细菌,可引发危及生命的呼吸道疾病--白喉,如不及时治疗,可导致严重的神经系统疾病,主要感染肺部、心脏和肾脏。本研究以白喉棒状杆菌 MtrA 反应调节蛋白为研究对象,该蛋白调节细菌致病的双组分系统,并启动 DNA 复制和细胞分裂。本研究介绍了一种计算方法,通过小分子作为潜在的抑制剂抑制 MtrA 蛋白来开发抗白喉杆菌感染的药物。对平衡后的 MtrA 蛋白进行分子对接分析后发现,Asinex 库中的化合物-0.2970、化合物-0.3029 和化合物-0.3016 具有最低的结合能(-9.8 kJ/mol、-9.2 kJ/mol 和 -8.9 kJ/mol)、最高的黄金分数(40.53、47.41 和 48.41)、药物相似性和药代动力学特性,因此被认为是有前景的抑制剂。对已确定的排名靠前的抑制剂进行 100 ns 的分子动力学模拟研究,阐明了系统的稳定性和 MtrA 蛋白结合袋中的波动。对排名前三的对接复合物进行的分子动力学模拟进一步揭示了标准结合口袋的保留确保了系统的稳定性。此外,还观察到 H 键、范德华、pi-pi 和固体疏水相互作用的重新排列。结合自由能计算(MM/PBSA 和 MM/GBSA)表明配体与目标受体 MtrA 具有基本的结合能力。因此,目前的研究为开发针对白喉杆菌感染的治疗药物提供了极好的候选有效抑制剂。然而,要验证这些化合物潜在的抑制作用,还需要进行体内和体外动物实验以及准确的临床试验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
期刊介绍: The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.
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