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A comparative method for finding and folding RNA secondary structures within protein-coding regions.

Jakob Skou Pedersen1, Irmtraud Margret Meyer, Roald Forsberg

  • 1Bioinformatics Research Center, Department of Ecology and Genetics, The Institute of Biological Sciences, University of Aarhus, Ny Munkegade, Building 550, 8000 Aarhus C, Denmark. jsp@daimi.au.dk

Nucleic Acids Research
|September 28, 2004
PubMed
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This study introduces RNA-DECODER, a novel computational method for predicting RNA secondary structures that accounts for overlapping protein-coding regions. It demonstrates higher specificity than existing tools in identifying conserved RNA structures within viral genomes.

Area of Science:

  • Computational Biology
  • Bioinformatics
  • Molecular Biology

Background:

  • Current RNA structure prediction methods often overlook the dual role of RNA sequences encoding both structure and proteins.
  • Emerging evidence suggests this dual coding occurs in viral and eukaryotic genomes.

Purpose of the Study:

  • To develop the first comparative method, RNA-DECODER, for predicting conserved RNA secondary structures in protein-coding regions.
  • To evaluate RNA-DECODER's performance against existing tools.

Main Methods:

  • RNA-DECODER utilizes a stochastic context-free grammar and phylogenetic substitution models.
  • It integrates known protein-coding information into RNA sequence alignment analysis.
  • Parameters were automatically trained using Hepatitis C virus (HCV) genome data.

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Main Results:

  • RNA-DECODER successfully predicted known secondary structures in the HCV genome.
  • The method identified conserved secondary-structure elements in HCV and poliovirus genomes.
  • RNA-DECODER exhibited sensitivity comparable to MFOLD, PFOLD, and RNAALIFOLD for known structures.

Conclusions:

  • RNA-DECODER offers a significant improvement in specificity for predicting RNA secondary structures, especially in genomes with overlapping coding functions.
  • This method advances the understanding of RNA's complex coding capabilities and aids in viral genome analysis.