Apr 21, 2020

A Computational Approach to Design Potential siRNA Molecules as a Prospective Tool for Silencing Nucleocapsid Phosphoprotein and Surface Glycoprotein Gene of SARS-CoV-2

BioRxiv : the Preprint Server for Biology
U. F. ChowdhuryM. A. Moni

Abstract

A disease outbreak named COVID-19, caused by a RNA virus, SARS-CoV-2 has become pandemic with a magnitude, which is daunting to all public health institutions in the absence of specific antiviral treatment. Surface glycoprotein and nucleocapsid phosphoprotein are two important proteins of this virus facilitating its entry into host cell and genome replication. Small interfering RNA (siRNA) is a prospective tool of the RNA interference (RNAi) pathway for the control of human viral infections by suppressing viral gene expression through hybridization and neutralization of target complementary mRNA. So, in this study, the power of RNA interference technology was harnessed to develop siRNA molecules against specific target genes namely, nucleocapsid phosphoprotein gene and surface glycoprotein gene. Conserved sequence from 139 SARS-CoV-2 strains from around the globe was collected to construct 78 siRNA that can inactivate nucleocapsid phosphoprotein and surface glycoprotein genes. Finally, through a rigorous filtering process 8 siRNA molecules were selected with exerts the best action. These predicted siRNAs should effectively silence the genes of SARS-CoV-2 during siRNA mediated treatment assisting in the response against SARS-CoV-2.

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Mentioned in this Paper

Study
Immune System
Antigen Binding
Binding (Molecular Function)
Structure
Biotechnology
Chlordecone reductase
Base Sequence
Entire Immune System
Titration Method

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