Aims: The aim of this study is to develop a novel antiviral strategy capable of efficiently targeting a broad set of SARS-CoV-2 variants. Background: Since the first emergence of SARS-CoV-2, it has rapidly transformed into a global pandemic, posing an unprecedented threat to public health. SARS-CoV-2 is prone to mutation The study contributes to the possibility of designing and developing an effective response strategy against existing variants of concerns and preventing furtherand continues to evolve, leading to the emergence of new variants capable of escaping immune protection achieved due to previous SARS-CoV-2 infections or by vaccination. Objective: RNA interference (RNAi) is a remarkable biological mechanism that can induce gene silencing by targeting complementary mRNA and inhibiting its translation. Methods: In this study, using the computational approach, we predicted the most efficient siRNA capable of inhibiting SARS-CoV-2 variants of concern (VoCs). Results: The presented siRNA was characterized and evaluated for its thermodynamic properties, offsite-target hits, and in silico validation by molecular docking and molecular dynamics simulations (MD) with Human AGO2 protein. Conclusion: The study contributes to the possibility of designing and developing an effective response strategy against existing variants of concerns and preventing further.

中文翻译：

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设计和验证针对 SARS-CoV-2 变体的小干扰 RNA 的计算方法

目的：本研究的目的是开发一种新型抗病毒策略，能够有效针对广泛的 SARS-CoV-2 变种。背景：自 SARS-CoV-2 首次出现以来，它已迅速转变为全球大流行，对公众健康构成了前所未有的威胁。SARS-CoV-2容易发生突变 该研究有助于设计和开发针对现有变体的有效应对策略，并防止进一步和继续进化，从而导致出现能够逃避免疫保护的新变体既往感染过 SARS-CoV-2 或通过疫苗接种。目的：RNA干扰（RNAi）是一种显着的生物学机制，可以通过靶向互补mRNA并抑制其翻译来诱导基因沉默。方法：在本研究中，我们使用计算方法预测了能够抑制 SARS-CoV-2 相关变体 (VoC) 的最有效 siRNA。结果：对所提出的 siRNA 进行了表征和评估，包括其热力学特性、脱靶命中，以及通过与人 AGO2 蛋白进行分子对接和分子动力学模拟 (MD) 进行的计算机验证。结论：该研究有助于设计和开发针对现有问题的有效应对策略并进一步预防。