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The basic structure of RNA consists of a five-carbon sugar and one of four nitrogenous bases. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
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Related Experiment Video

Updated: Feb 5, 2026

RNA Secondary Structure Prediction Using High-throughput SHAPE
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cpPredictor: a web server for template-based prediction of RNA secondary structure.

Jan Jelínek1, Josef Pánek1

  • 1Laboratory of Bioinformatics, Institute of Microbiology, The Czech Academy of Sciences, Prague 1, Czech Republic.

Bioinformatics (Oxford, England)
|September 1, 2018
PubMed
Summary

cpPredictor offers a novel template-based method for RNA secondary structure prediction. This approach improves accuracy by utilizing related RNA structures as templates, outperforming existing prediction tools.

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Area of Science:

  • Computational biology
  • Bioinformatics
  • Molecular biology

Background:

  • Accurate prediction of RNA secondary structure is crucial for understanding RNA function.
  • Existing methods often struggle with complex or novel RNA structures.
  • Template-based approaches offer a promising avenue for improving prediction accuracy.

Purpose of the Study:

  • To introduce cpPredictor, a novel web server for RNA secondary structure prediction.
  • To provide a tool that outperforms existing methods by leveraging structural templates.
  • To assist in characterizing uncharacterized RNAs and resolving ambiguous predictions.

Main Methods:

  • Development of a template-based algorithm for RNA secondary structure prediction.
  • Utilizing known or predicted structures of related RNA molecules as templates.
  • Implementation as a user-friendly web server (cpPredictor).

Main Results:

  • The cpPredictor method demonstrates superior performance compared to available prediction tools.
  • The server effectively predicts challenging RNA secondary structures.
  • It enables characterization of RNA compatibility with templates and resolves ambiguous structures.

Conclusions:

  • cpPredictor offers a significant advancement in RNA secondary structure prediction.
  • The template-based approach enhances accuracy and applicability.
  • The freely available web server facilitates research in RNA biology.