A Computational Approach for Designing and Validating Small Interfering RNA against SARS-CoV-2 Variants


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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 and 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.

Method:In this study, using the computational approach, we predicted the most efficient siRNA capable of inhibiting SARS-CoV-2 variants of concern (VoCs).

Result: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.

作者简介

Kishore Dhotre

Division of Virology, ICMR-National AIDS Research Institute

Email: info@benthamscience.net

Debashree Dass

Division of Virology, ICMR-National AIDS Research Institute

Email: info@benthamscience.net

Anwesha Banerjee

Division of Virology, ICMR-National AIDS Research Institute

Email: info@benthamscience.net

Vijay Nema

Division of Molecular Biology, ICMR-National AIDS Research Institute

Email: info@benthamscience.net

Anupam Mukherjee

Division of Virology, ICMR-National AIDS Research Institute

编辑信件的主要联系方式.
Email: info@benthamscience.net

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