In Silico Exploration of few TriazoloPyrimidine Derivatives as Virtual Inhibitors against SARS-CoV-2 : A Comprehensive Analysis Integrating Molecular Docking and ADME-Toxicity Evaluation

Janaki Chauhan, Dr. Bhavesh Dodiya, Dr. Girin Baxi
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Abstract

This ground-breaking research delves into the potential of novel triazolopyrimidine derivatives as inhibitors of SARS-CoV, employing a robust in-silico approach that integrates molecular docking studies, molecular dynamics simulations, and comprehensive ADMET parameter assessments. The overarching goal is to identify compounds that exhibit both robust binding affinity and favourable pharmacokinetic profiles, laying the foundation for potential antiviral drug development. The methodology begins with the meticulous selection of triazolo pyrimidine derivatives based on their structural characteristics. Molecular docking studies are then conducted, focusing on a specific binding site on the SARS-CoV target. Subsequent molecular dynamics simulations provide a dynamic perspective on the stability of the binding interactions over time. ADMET parameter assessments are employed to evaluate drug-likeness and safety, crucial factors in determining the compounds' viability as potential drug candidates. The findings of this research underscore promising interactions between the triazolo pyrimidine derivatives and the targeted viral site, suggesting their potential as inhibitors of SARS-CoV. Importantly, the ADMET assessments contribute valuable insights into the pharmacokinetic properties of the compounds, informing their overall safety and suitability for further development. Notably, molecular docking studies include a comparative analysis with the standard antiviral drug remdesivir, revealing that the triazolo pyrimidine derivatives exhibit energy scores surpassing those of remdesivir. This finding signifies a potential advantage in terms of binding affinity and effectiveness against SARS-CoV. The implications of this research are profound, extending beyond the identification of potential inhibitors for SARS-CoV to contributing essential knowledge for the development of therapeutics against coronaviruses in general. This study serves as a crucial stepping stone for subsequent experimental validation and optimization of the identified compounds, propelling future drug discovery endeavours in the fight against coronaviral infections.
将几种三唑并嘧啶衍生物作为 SARS-CoV-2 虚拟抑制剂的硅学探索:分子对接与 ADME 毒性评估相结合的综合分析
这项开创性的研究深入探讨了新型三唑并嘧啶衍生物作为 SARS-CoV 抑制剂的潜力,并采用了一种将分子对接研究、分子动力学模拟和综合 ADMET 参数评估融为一体的强大的室内方法。研究的总体目标是找出既有强大结合亲和力又有良好药代动力学特征的化合物,为潜在的抗病毒药物开发奠定基础。该方法首先根据三唑并嘧啶衍生物的结构特征对其进行精心筛选。然后进行分子对接研究,重点研究 SARS-CoV 目标上的特定结合位点。随后进行的分子动力学模拟从动态角度分析了结合相互作用随时间变化的稳定性。ADMET 参数评估用于评价药物的相似性和安全性,这些都是决定化合物能否成为潜在候选药物的关键因素。研究结果表明,三唑并嘧啶衍生物与目标病毒位点之间的相互作用很有前景,这表明它们有可能成为 SARS-CoV 的抑制剂。重要的是,ADMET 评估为了解化合物的药代动力学特性提供了宝贵的信息,为化合物的整体安全性和进一步开发的适宜性提供了依据。值得注意的是,分子对接研究包括与标准抗病毒药物雷米替韦的比较分析,结果显示三唑并嘧啶衍生物的能量得分超过了雷米替韦。这一发现表明,三唑并嘧啶衍生物在结合亲和力和抗 SARS-CoV 效力方面具有潜在优势。这项研究具有深远的意义,它不仅确定了 SARS-CoV 的潜在抑制剂,还为开发针对冠状病毒的治疗药物提供了重要的知识。这项研究是后续实验验证和优化已鉴定化合物的重要基石,将推动未来抗冠状病毒感染药物的研发工作。
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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