Unveiling hidden structural patterns in the SARS-CoV-2 genome: Computational insights and comparative analysis.

ABSTRACT: SARS-CoV-2, the causative agent of COVID-19, is known to exhibit secondary structures in its 5' and 3' untranslated regions, along with the frameshifting stimulatory element situated between ORF1a and 1b. To identify additional regions containing conserved structures, we utilized a multiple sequence alignment with related coronaviruses as a starting point. We applied a computational pipeline developed for identifying non-coding RNA elements. Our pipeline employed three different RNA structural prediction approaches. We identified forty genomic regions likely to harbor structures, with ten of them showing three-way consensus substructure predictions among our predictive utilities. We conducted intracomparisons of the predictive utilities within the pipeline and intercomparisons with four pr

SUBMITTER: Ziesel A 

PROVIDER: S-EPMC10994416 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature