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Related Concept Videos

RNA Structure01:19

RNA Structure

The basic structure of RNA consists of a string of ribonucleotides attached by phosphodiester bonds. 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.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA) involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three...
RNA Structure01:23

RNA Structure

Overview
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.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA): messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three RNA types consist of a...
RNA Structure01:23

RNA Structure

Overview
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.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA): messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three RNA types consist of a...
Nucleic Acid Structure01:25

Nucleic Acid Structure

The pentose sugar in DNA is deoxyribose, while in RNA the pentose sugar is ribose. The difference between the sugars is the presence of the hydroxyl group on the ribose's second carbon and a hydrogen on the deoxyribose's second carbon. The phosphate residue attaches to the hydroxyl group of the 5′ carbon of one sugar and the hydroxyl group of the 3′ carbon of the sugar of the next nucleotide, which forms  a 5′ to 3′ phosphodiester linkage.
DNA Structure
DNA has a double-helix structure. The...
RNA Stability01:53

RNA Stability

Intact DNA strands can be found in fossils, while scientists sometimes struggle to keep RNA intact under laboratory conditions. The structural variations between RNA and DNA underlie the differences in their stability and longevity. Because DNA is double-stranded, it is inherently more stable. The single-stranded structure of RNA is less stable but also more flexible and can form weak internal bonds. Additionally, most RNAs in the cell are relatively short, while DNA can be up to 250 million...
RNA Stability01:53

RNA Stability

Intact DNA strands can be found in fossils, while scientists sometimes struggle to keep RNA intact under laboratory conditions. The structural variations between RNA and DNA underlie the differences in their stability and longevity. Because DNA is double-stranded, it is inherently more stable. The single-stranded structure of RNA is less stable but also more flexible and can form weak internal bonds. Additionally, most RNAs in the cell are relatively short, while DNA can be up to 250 million...

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Related Experiment Video

Updated: Jun 1, 2026

RNA Secondary Structure Prediction Using High-throughput SHAPE
13:42

RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

TT2NE: a novel algorithm to predict RNA secondary structures with pseudoknots.

Michaël Bon1, Henri Orland

  • 1Institut de Physique Théorique, CEA Saclay, CNRS URA 2306, 91191 Gif-sur-Yvette, France.

Nucleic Acids Research
|May 20, 2011
PubMed
Summary
This summary is machine-generated.

We introduce TT2NE, a novel algorithm for predicting RNA secondary structures, including complex pseudoknots. This method accurately identifies minimum free energy structures, enhancing prediction quality for RNA folding.

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Molecular Biology

Background:

  • Predicting RNA secondary structures is crucial for understanding gene regulation and function.
  • Pseudoknots represent a significant challenge in accurate RNA structure prediction.
  • Existing algorithms often struggle with the complexity of pseudoknotted RNA structures.

Purpose of the Study:

  • To develop a novel algorithm, TT2NE, for predicting RNA secondary structures with pseudoknots.
  • To guarantee the prediction of minimum free energy structures irrespective of pseudoknot topology.
  • To improve the overall accuracy of RNA secondary structure predictions.

Main Methods:

  • TT2NE algorithm based on RNA structure classification by topological genus.
  • Guaranteed minimum free energy structure prediction across all pseudoknot topologies.
  • Comparative analysis against state-of-the-art RNA structure prediction algorithms.

Main Results:

  • TT2NE significantly improves the quality of RNA secondary structure predictions compared to existing methods.
  • The algorithm's proficiency comes with a limitation on the maximum sequence length treatable.
  • Analysis of prediction errors highlights the role of sterical constraints in pseudoknot formation.

Conclusions:

  • TT2NE offers a robust approach for predicting RNA secondary structures with pseudoknots.
  • Further research is needed to understand sterical constraints limiting pseudoknotted structure formation.
  • The TT2NE algorithm provides a valuable tool for RNA structure research.