Computational Discovery of Novel Imidazole Derivatives as Inhibitors of SARS-CoV-2 Main Protease: An Integrated Approach Combining Molecular Dynamics and Binding Affinity Analysis

COVID Pub Date : 2024-05-23 DOI:10.3390/covid4060046
B. A. Babalola, A. Adegboyega
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Abstract

One of the most pressing challenges associated with SARS treatment is the emergence of new variants that may be transmissible, causing more severe disease or being resistant to the current standard of treatment. This study aimed to identify potential drug candidates from novel imidazole derivatives against SARS-CoV-2 main protease (Mpro), a crucial drug target for treating viral infection, using a computational approach that integrated molecular docking and dynamics simulation. In this study, we utilized AutoDock Vina within the PyRx workspace for molecular docking analysis to explore the inhibitory effects of the compounds on the Mpro, a drug target for SARS-CoV-2. The ADMET properties of these compounds, including absorption, distribution, metabolism, excretion, and toxicity, were evaluated using the SwissADME and ADMETLab servers. Each of the 18 compounds that were tested demonstrated strong binding affinities towards Mpro, with imidazolyl–methanone C10 showing the most significant binding affinity. Moreover, pyridyl–imidazole C5, thiophenyl–imidazole C1, and quinoline–imidazole C14 displayed binding affinities of −8.3, −8.2, and −7.7 Kcal/mol, respectively. These compounds interacted with specific amino acid residues (HIS A:41—CYS A:145) within the Mpro protein. To assess the stability of the ligand with the best binding affinity, molecular dynamics (MD) simulations were conducted using Schrodinger software, which revealed its stability over the simulation period. The study provides valuable insights into the potential of imidazole derivatives as SARS-CoV-2 Mpro inhibitors. All compounds including C10 display promising characteristics and hold potential as drug candidates for SARS-CoV-2. However, further optimization and experimental validation of these compounds are necessary to advance their development as effective therapeutics against viral infections.
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计算发现作为 SARS-CoV-2 主要蛋白酶抑制剂的新型咪唑衍生物:分子动力学与结合亲和力分析相结合的综合方法
与 SARS 治疗相关的最紧迫挑战之一是新变种的出现,它们可能具有传播性,导致更严重的疾病,或对目前的治疗标准产生抗药性。本研究旨在利用分子对接和动力学模拟相结合的计算方法,从新型咪唑衍生物中发现抗 SARS-CoV-2 主蛋白酶(Mpro)的潜在候选药物,Mpro 是治疗病毒感染的关键药物靶点。在这项研究中,我们利用 PyRx 工作区中的 AutoDock Vina 进行了分子对接分析,以探索这些化合物对 SARS-CoV-2 药物靶标 Mpro 的抑制作用。使用 SwissADME 和 ADMETLab 服务器评估了这些化合物的 ADMET 特性,包括吸收、分布、代谢、排泄和毒性。接受测试的 18 种化合物均与 Mpro 具有很强的结合亲和力,其中咪唑基甲酮 C10 的结合亲和力最强。此外,吡啶基咪唑 C5、噻吩基咪唑 C1 和喹啉基咪唑 C14 的结合亲和力分别为 -8.3、-8.2 和 -7.7 Kcal/mol。这些化合物与 Mpro 蛋白中的特定氨基酸残基(HIS A:41-CYS A:145)相互作用。为了评估具有最佳结合亲和力的配体的稳定性,研究人员使用 Schrodinger 软件进行了分子动力学(MD)模拟,结果显示该配体在模拟期间具有稳定性。这项研究为了解咪唑衍生物作为 SARS-CoV-2 Mpro 抑制剂的潜力提供了宝贵的见解。包括 C10 在内的所有化合物都显示出良好的特性,具有作为 SARS-CoV-2 候选药物的潜力。然而,这些化合物还需要进一步的优化和实验验证,以推动其发展成为抗病毒感染的有效疗法。
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