Discovery of RNA motifs using a computational pipeline that allows insertions in paired regions and filtering of candidate sequences

Methods Mol Biol. 2012:848:145-58. doi: 10.1007/978-1-61779-545-9_10.

Abstract

The enormous impact of noncoding RNAs on biology and biotechnology has motivated the development of systematic approaches to their discovery and characterization. Here we present a methodology for reliable detection of genomic ribozymes that centers on pipelined structure-based searches, utilizing two versatile algorithms for structure prediction. RNArobo is a prototype structure-based search package that enables a single search to return all sequences matching a designated motif descriptor, taking into account the possibility of single nucleotide insertions within base-paired regions. These outputs are then filtered through a structure prediction algorithm based on free energy minimization in order to maximize the proportion of catalytically active RNA motifs. This pipeline provides a fast approach to uncovering new catalytic RNAs with known secondary structures and verifying their activity in vitro.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Base Pairing*
  • Computational Biology / methods*
  • Genomics
  • Internet
  • Mutagenesis, Insertional*
  • Nucleotide Motifs*
  • RNA, Catalytic / chemistry*
  • RNA, Catalytic / genetics*
  • Thermodynamics

Substances

  • RNA, Catalytic