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Related Experiment Videos

Discovering common stem-loop motifs in unaligned RNA sequences.

J Gorodkin1, S L Stricklin, G D Stormo

  • 1Department of Genetics and Ecology, The Institute of Biological Sciences, University of Aarhus, Building 540, Ny Munkegade, DK-8000 Aarhus C, Denmark.

Nucleic Acids Research
|May 23, 2001
PubMed
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This study introduces a novel computational method combining FOLDALIGN and COVE to accurately identify and model RNA stem-loop motifs in unaligned sequences. The approach successfully discovers RNA structures, aiding in understanding post-transcriptional gene regulation.

Area of Science:

  • Computational Biology
  • Molecular Biology
  • Bioinformatics

Background:

  • Post-transcriptional gene regulation relies on proteins binding mRNA motifs, which often involve conserved structures with variable sequences.
  • Discovering RNA motifs is challenging due to sequence covariation, unlike DNA regulatory site identification.

Purpose of the Study:

  • To develop and evaluate a combined computational method for discovering and modeling stem-loop RNA motifs in unaligned sequences.
  • To address the difficulty of RNA motif discovery caused by positional covariation.

Main Methods:

  • Combined use of FOLDALIGN and COVE for RNA structure prediction.
  • Application of the method to unaligned sequences, including UTRs from coregulated genes.
  • Evaluation on rRNA gene sections and randomized UTR sequences containing IRE-like elements.

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Main Results:

  • The combined method successfully identified stem-loop RNA motifs in both tested datasets.
  • Accurate determination of RNA secondary structures, including loops and bulges, was achieved for rRNA genes.
  • Quantitative evaluation showed close agreement with curated database structures (correlation coefficients up to 0.9).

Conclusions:

  • The integrated FOLDALIGN and COVE approach is effective for discovering and modeling RNA stem-loop motifs in unaligned sequences.
  • This method aids in understanding post-transcriptional gene regulation by identifying key RNA structures.
  • A publicly available server, SLASH, has been developed to perform these stem-loop searches.