Literature DB >> 21873638

Feature-based 3D motif filtering for ribosomal RNA.

Ying Shen1, Hau-San Wong, Shaohong Zhang, Zhiwen Yu.   

Abstract

MOTIVATION: RNA 3D motifs are recurrent substructures in an RNA subunit and are building blocks of the RNA architecture. They play an important role in binding proteins and consolidating RNA tertiary structures. RNA 3D motif searching consists of two steps: candidate generation and candidate filtering. We proposed a novel method, known as Feature-based RNA Motif Filtering (FRMF), for identifying motifs based on a set of moment invariants and the Earth Mover's Distance in the second step.
RESULTS: A positive set of RNA motifs belonging to six characteristic types, with eight subtypes occurring in HM 50S, is compiled by us. The proposed method is validated on this representative set. FRMF successfully finds most of the positive fragments. Besides the proposed new method and the compiled positive set, we also recognize some new motifs, in particular a π-turn and some non-standard A-minor motifs are found. These newly discovered motifs provide more information about RNA structure conformation. AVAILABILITY: Matlab code can be downloaded from www.cs.cityu.edu.hk/~yingshen/FRMF.html CONTACT: cshswong@cityu.edu.hk SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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Year:  2011        PMID: 21873638     DOI: 10.1093/bioinformatics/btr495

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  2 in total

1.  RNA structural motif recognition based on least-squares distance.

Authors:  Ying Shen; Hau-San Wong; Shaohong Zhang; Lin Zhang
Journal:  RNA       Date:  2013-07-25       Impact factor: 4.942

2.  Structural variation and uniformity among tetraloop-receptor interactions and other loop-helix interactions in RNA crystal structures.

Authors:  Li Wu; Dinggeng Chai; Marie E Fraser; Steven Zimmerly
Journal:  PLoS One       Date:  2012-11-09       Impact factor: 3.240

  2 in total

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