Prediction and Analysis of Targeting Libyan Severe Acute Respiratory Syndrome Corona Virus 2 isolates by Micro-RNA
Keywords:COVID-19, , Pandemic, MiRNAs, , Bioinformatics prediction
The COVID-19 pandemic has caused widespread concern, and extensive studies have been conducted to discover an effective therapy for the virus, some of these studies have demonstrated that host miRNAs have antiviral properties and may enhance the treatment of individuals with COVID-19. Host miRNAs are important regulators of virus replication and translation by binding directly to viral RNA. Investigating the interaction between miRNA and SARS-CoV2 can reveal novel therapeutic approaches against this virus. The study analyzed the genomes of seven Libyan SARS-CoV2 isolates and the Wuhan reference strain and used bioinformatics prediction to identify human mature miRNAs that interact with the virus. The study found that 142 lung miRNAs could interact with the viral RNA, and identified several miRNAs with multiple binding sites, including hsa-mir-197-5p and hsa-mir-286-3p. The study also identified miR-138-5p and miR-574-5p as potential therapeutic targets, as they have the ability to bind to the 3'UTR of IFN and ACE2 genes in the host cell. However, the interactions between miRNA and mRNA identified in this study require further experimental validation to confirm their therapeutic potential.
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