In silico identification of conserved cis-acting RNA elements in the SARS-CoV-2 genome
- PMID: 33005212
- PMCID: PMC7507811
- DOI: 10.2217/fvl-2020-0163
In silico identification of conserved cis-acting RNA elements in the SARS-CoV-2 genome
Abstract
Aim: The aim of this study was to computationally predict conserved RNA sequences and structures known as cis-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.
Keywords: RNA structure; RNA virus; SARS-CoV-2; cis-acting RNA elements.
© 2020 Future Medicine Ltd.
Conflict of interest statement
Financial & competing interests disclosure The author has no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties. No writing assistance was utilized in the production of this manuscript.
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