Modeling and predicting rna three-dimensional structures

Jérôme Waldispühl, Vladimir Reinharz

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Modeling the three-dimensional structure of RNAs is a milestone toward better understanding and prediction of nucleic acids molecular functions. Physics-based approaches and molecular dynamics simulations are not tractable on large molecules with all-atom models. To address this issue, coarse-grained models of RNA three-dimensional structures have been developed. In this chapter, we describe a graphical modeling based on the Leontis-Westhof extended base-pair classification. This representation of RNA structures enables us to identify highly conserved structural motifs with complex nucleotide interactions in structure databases. Further, we show how to take advantage of this knowledge to quickly and simply predict three-dimensional structures of large RNA molecules.

Original languageEnglish
Pages (from-to)101-121
Number of pages21
JournalMethods in Molecular Biology
Volume1269
DOIs
StatePublished - 1 Jan 2015

Keywords

  • Base-pair classification
  • Extended secondary structure
  • Modeling
  • Prediction
  • RNA motifs
  • Tertiary structure

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

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