RNA folding

Yann Ponty, Vladimir Reinharz

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

RNAs are molecules that are essential to any living organism. The minimum free-energy (MFE) structure represents the most stable structure among all of the structures adopted by a sequence. The suboptimal backtrack can be adapted to any algorithm based on an unambiguous dynamic programming scheme. It remains valid for an ambiguous decomposition, albeit generating some structures redundantly. Comparative folding represents a final category of methods for structure prediction. Since the logarithm is a monotonously increasing function, optimizing the logarithm of the objective function is equivalent to optimizing the objective function. The principle behind the Sankoff algorithm is at the core of virtually every approach for comparative prediction. The partition function is essential to adopt a statistical perspective over the Boltzmann ensemble. The partition function is an essential quantity to derive the statistical properties of the folding space.

Original languageEnglish
Title of host publicationFrom Sequences to Graphs
Subtitle of host publicationDiscrete Methods and Structures for Bioinformatics
Publisherwiley
Pages185-231
Number of pages47
ISBN (Electronic)9781394169634
ISBN (Print)9781394169641
DOIs
StatePublished - 9 Sep 2022
Externally publishedYes

Keywords

  • Ambiguous decomposition
  • Comparative folding
  • Dynamic programming scheme
  • MFE structure
  • Partition function
  • RNA folding
  • Sankoff algorithm
  • Statistical properties
  • Suboptimal backtrack

ASJC Scopus subject areas

  • General Computer Science

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