In silicoidentification of conservedcis-acting RNA elements in the SARS-CoV-2 genome

Aim:The aim of this study was to computationally predict conserved RNA sequences and structures known ascis-acting RNA elements (CREs) in the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome.Materials & methods:Bioinformatics tools were used to analyze and predict CREs by obtaining viral sequences from available databases.Results:Computational analysis revealed the presence of RNA stem-loop structures within the 3 ' end of the ORF1ab region analogous to previously identified SARS-CoV genomic packaging signals. Alignment-based RNA secondary structure predictions of the 5 ' end of the SARS-CoV-2 genome also identified conserved CREs.Conclusion:These CREs may be potential vaccine and/or antiviral therapeutic targets; however, further studies are warranted to confirm their roles in the SARS-CoV-2 life cycle.