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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.

SUBMITTER: Alhatlani BY 

PROVIDER: S-EPMC7507811 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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<i>In silico</i> identification of conserved <i>cis</i>-acting RNA elements in the SARS-CoV-2 genome.

Alhatlani Bader Y BY  

Future virology 20200701 7


<h4>Aim</h4>The aim of this study was to computationally predict conserved RNA sequences and structures known as <i>cis</i>-acting RNA elements (CREs) in the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome.<h4>Materials & methods</h4>Bioinformatics tools were used to analyze and predict CREs by obtaining viral sequences from available databases.<h4>Results</h4>Computational analysis revealed the presence of RNA stem-loop structures within the 3' end of the ORF1ab region analo  ...[more]

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