Computational approaches to RNA structure prediction, analysis, and design

Christian Laing, Tamar Schlick

Research output: Contribution to journalArticle

Abstract

RNA molecules are important cellular components involved in many fundamental biological processes. Understanding the mechanisms behind their functions requires RNA tertiary structure knowledge. Although modeling approaches for the study of RNA structures and dynamics lag behind efforts in protein folding, much progress has been achieved in the past two years. Here, we review recent advances in RNA folding algorithms, RNA tertiary motif discovery, applications of graph theory approaches to RNA structure and function, and in silico generation of RNA sequence pools for aptamer design. Advances within each area can be combined to impact many problems in RNA structure and function.

Original languageEnglish (US)
Pages (from-to)306-318
Number of pages13
JournalCurrent Opinion in Structural Biology
Volume21
Issue number3
DOIs
StatePublished - Jun 2011

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RNA
RNA Folding
Biological Phenomena
Nucleotide Motifs
Protein Folding
Computer Simulation

ASJC Scopus subject areas

  • Molecular Biology
  • Structural Biology

Cite this

Computational approaches to RNA structure prediction, analysis, and design. / Laing, Christian; Schlick, Tamar.

In: Current Opinion in Structural Biology, Vol. 21, No. 3, 06.2011, p. 306-318.

Research output: Contribution to journalArticle

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