Author: Alhatlani, Bader Y
Title: In silico identification of conserved cis-acting RNA elements in the SARS-CoV-2 genome Cord-id: jp7fmjuq Document date: 2020_7_29
ID: jp7fmjuq
Snippet: 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 ident
Document: 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.
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