Literature DB >> 14755570

Structural motifs in ribosomal RNAs: implications for RNA design and genomics.

Julie Zorn1, Hin Hark Gan, Nahum Shiffeldrim, Tamar Schlick.   

Abstract

The various motifs of RNA molecules are closely related to their structural and functional properties. To better understand the nature and distributions of such structural motifs (i.e., paired and unpaired bases in stems, junctions, hairpin loops, bulges, and internal loops) and uncover characteristic features, we analyze the large 16S and 23S ribosomal RNAs of Escherichia coli. We find that the paired and unpaired bases in structural motifs have characteristic distribution shapes and ranges; for example, the frequency distribution of paired bases in stems declines linearly with the number of bases, whereas that for unpaired bases in junctions has a pronounced peak. Significantly, our survey reveals that the ratio of total (over the entire molecule) unpaired to paired bases (0.75) and the fraction of bases in stems (0.6), junctions (0.16), hairpin loops (0.12), and bulges/internal loops (0.12) are shared by 16S and 23S ribosomal RNAs, suggesting that natural RNAs may maintain certain proportions of bases in various motifs to ensure structural integrity. These findings may help in the design of novel RNAs and in the search (via constraints) for RNA-coding motifs in genomes, problems of intense current focus. Copyright 2003 Wiley Periodicals, Inc.

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Year:  2004        PMID: 14755570     DOI: 10.1002/bip.10525

Source DB:  PubMed          Journal:  Biopolymers        ISSN: 0006-3525            Impact factor:   2.505


  6 in total

Review 1.  The building blocks and motifs of RNA architecture.

Authors:  Neocles B Leontis; Aurelie Lescoute; Eric Westhof
Journal:  Curr Opin Struct Biol       Date:  2006-05-19       Impact factor: 6.809

2.  A computational proposal for designing structured RNA pools for in vitro selection of RNAs.

Authors:  Namhee Kim; Hin Hark Gan; Tamar Schlick
Journal:  RNA       Date:  2007-02-23       Impact factor: 4.942

3.  Network Theory Tools for RNA Modeling.

Authors:  Namhee Kim; Louis Petingi; Tamar Schlick
Journal:  WSEAS Trans Math       Date:  2013-09

4.  Lethal mutants and truncated selection together solve a paradox of the origin of life.

Authors:  David B Saakian; Christof K Biebricher; Chin-Kun Hu
Journal:  PLoS One       Date:  2011-07-26       Impact factor: 3.240

5.  Modular RNA architecture revealed by computational analysis of existing pseudoknots and ribosomal RNAs.

Authors:  Samuela Pasquali; Hin Hark Gan; Tamar Schlick
Journal:  Nucleic Acids Res       Date:  2005-03-03       Impact factor: 16.971

6.  Finding recurrent RNA structural networks with fast maximal common subgraphs of edge-colored graphs.

Authors:  Antoine Soulé; Vladimir Reinharz; Roman Sarrazin-Gendron; Alain Denise; Jérôme Waldispühl
Journal:  PLoS Comput Biol       Date:  2021-05-28       Impact factor: 4.475

  6 in total

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