Literature DB >> 16021599

A class of 2D graphical representations of RNA secondary structures and the analysis of similarity based on them.

Yu-Hua Yao1, Xu-Ying Nan, Tian-Ming Wang.   

Abstract

Based on the concepts of cell and system of graphical representation, a class of 2D graphical representations of RNA secondary structures are given in terms of classifications of bases of nucleic acids. The representations can completely avoid loss of information associated with crossing and overlapping of the corresponding curve. As an application, we make quantitative comparisons for a set of RNA secondary structures at the 3'-terminus of different viruses based on the graphical representations. The examination of similarities/dissimilarities illustrates the utility of the approach. (c) 2005 Wiley Periodicals, Inc. J Comput Chem 26: 1339-1346, 2005.

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Year:  2005        PMID: 16021599     DOI: 10.1002/jcc.20271

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  5 in total

1.  New 3D graphical representation for RNA structure analysis and its application in the pre-miRNA identification of plants.

Authors:  Xiangzheng Fu; Bo Liao; Wen Zhu; Lijun Cai
Journal:  RSC Adv       Date:  2018-09-03       Impact factor: 4.036

2.  Multi-scale RNA comparison based on RNA triple vector curve representation.

Authors:  Ying Li; Ming Duan; Yanchun Liang
Journal:  BMC Bioinformatics       Date:  2012-10-30       Impact factor: 3.169

3.  A Dynamic 3D Graphical Representation for RNA Structure Analysis and Its Application in Non-Coding RNA Classification.

Authors:  Yi Zhang; Haiyun Huang; Xiaoqing Dong; Yiliang Fang; Kejing Wang; Lijuan Zhu; Ke Wang; Tao Huang; Jialiang Yang
Journal:  PLoS One       Date:  2016-05-23       Impact factor: 3.240

4.  MicroRNA prediction based on 3D graphical representation of RNA secondary structures.

Authors:  Müşerref Duygu Saçar Demirci
Journal:  Turk J Biol       Date:  2019-08-05

5.  Using Gaussian model to improve biological sequence comparison.

Authors:  Qi Dai; Xiaoqing Liu; Lihua Li; Yuhua Yao; Bin Han; Lei Zhu
Journal:  J Comput Chem       Date:  2010-01-30       Impact factor: 3.376

  5 in total

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