Bioinformatics approach for the design of siRNAs against SARS-CoV-2 biorxivpreprint umontpellier RNA siRNA SARSCoV2 COVID19 coronavirus covid bioinformatics
By Dr. Sanchari Sinha Dutta, Ph.D.Dec 14 2022Reviewed by Danielle Ellis, B.Sc. In a recent study posted to the bioRxiv* preprint server, scientists have developed a set of siRNAs against severe acute respiratory syndrome coronavirus 2 using computational approaches. The siRNAs demonstrate high antiviral activity against SARS-CoV-2 and are able to recognize all available viral sequences.
In the current study, scientists have used bioinformatics approaches to design siRNAs against SARS-CoV-2. They have validated the antiviral activities of these siRNAs using ex vivo models of SARS-CoV-2-infected cultured cells. A total of eight siRNA candidates with minimal off-targets were generated in the study. The off-targets refer to endogenous mRNA sequences other than the targeted viral sequences. The siRNAs were predicted to target viral sequences that are conserved in more than 99.8% of viral variants.
Furthermore, scientists performed optimization procedures using viral sequences from publicly available databases to determine the variant coverage of candidate siRNAs. They analyzed more than 13,000,000 sequences and identified 12 distinct triplets of siRNAs that could recognize each of the sequenced variants.
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