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RNA Structure01:23

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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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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.
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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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Using the RNAstructure Software Package to Predict Conserved RNA Structures.

David H Mathews1

  • 1Department of Biochemistry & Biophysics and Center for RNA Biology, University of Rochester Medical Center, Rochester, New York.

Current Protocols in Bioinformatics
|June 19, 2014
PubMed
Summary
This summary is machine-generated.

Predicting conserved RNA structures using homologous sequences improves accuracy. This study details RNAstructure software protocols for enhanced non-coding RNA structure prediction.

Keywords:
RNA comparisonRNA folding thermodynamicsRNA secondary structure prediction

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Genomics

Background:

  • Non-coding RNAs (ncRNAs) play crucial roles in cellular processes.
  • Evolutionary conservation of ncRNA structure often exceeds sequence conservation.
  • Accurate ncRNA structure prediction is vital for understanding function.

Purpose of the Study:

  • To provide protocols for predicting conserved ncRNA structures.
  • To enhance secondary structure prediction accuracy by utilizing multiple homologous sequences.
  • To introduce users to key RNAstructure suite programs for conserved structure analysis.

Main Methods:

  • Utilizing conserved structures from multiple homologous sequences for improved prediction accuracy.
  • Employing four specific programs within the RNAstructure suite: Multilign, TurboFold, Dynalign, and PARTS.
  • Demonstrating the application of these programs through various interfaces: Web servers, command line, and graphical user interfaces.

Main Results:

  • Demonstrated improved accuracy in secondary structure prediction compared to single-sequence methods.
  • Provided practical protocols for implementing conserved structure prediction.
  • Showcased the versatility of RNAstructure tools for ncRNA analysis.

Conclusions:

  • Predicting conserved RNA structures significantly enhances prediction accuracy.
  • The RNAstructure suite offers powerful and accessible tools for ncRNA structure analysis.
  • These protocols facilitate advanced research in ncRNA function and evolution.