In silico analysis highlighting the prevalence of BCL2L1 gene and its correlation to miRNA in human coronavirus (HCoV) genetic makeup

The ongoing pandemic that resulted from coronavirus disease (COVID-19), which is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), had been spiraling out of control with no known antiviral drugs or vaccines. Due to the extremely serious nature of the disease, it has claimed many lives, with a mortality rate of 3.4% declared by the World Health Organization (WHO) on March 3, 2020. The aim of this study is to gain an understanding of the regulatory nature of the proteins involved in COVID-19 and to explore the possibility that microRNA (miRNA) could become a major component in the decoding of the virus. In the study, we were able to correlate the host protein gene BCL2L1 with miRNA miR-23b via network analysis. MiRNAs have previously been associated with the antiviral properties of various viral diseases, such as enterovirus 71 and hepatitis. They have been reported to act as antiviral regulators, since they are an integral component in the direct regulation of viral genes. MiRNAs are also capable of enabling the virus to avoid the host immune response by suppressing the IFN-α/β signaling pathway or increasing the production of IFN-α/β and as a result, inhibiting the viral infection. Here, we explain and shed light on the various correlations in the miRNA-gene-disease association that are seen in the host proteins of COVID-19. •Correlation of the host protein gene BCL2L1 with miRNA miR-23b via network analysis.•miRNA-gene-disease association seen in the host proteins of the COVID 19.•KEGG analysis shows BCL2L1 gene is prevalent in the PI3K-Akt, JAK-STAT, and NF-kappa B signaling pathway.•All three pathways were reported to be involved in SAR-CoV2.•Virus host interactome is important for effective viral infection treatment in various viral categories including SARS-CoV17.