Study of RNA Secondary Structure Prediction Algorithms

被引:2
作者
Sun, Ying [1 ]
Ye, Shenghua [2 ]
Lu, Hongwei [1 ]
机构
[1] Shanghai Univ Sci & Technol, Med Instrument & Food Engn Coll, Shanghai 201800, Peoples R China
[2] Univ Toronto, Div Engn Sci, Toronto, ON, Canada
来源
BIOTECHNOLOGY, CHEMICAL AND MATERIALS ENGINEERING, PTS 1-3 | 2012年 / 393-395卷
关键词
RNA secondary structure prediction; Minimum free energy model; Comparative sequence method; Pseudoknot; CONTEXT-FREE GRAMMARS; PSEUDOKNOTS; ALIGNMENT;
D O I
10.4028/www.scientific.net/AMR.393-395.955
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
RNA secondary structure study is one of the most important fields in computational molecular biology. According to different conditions, RNA secondary structure prediction derives two ways. In the paper, the method to predict RNA secondary structure is introduced in two ways. It includes the mathematic models and main algorithms. The paper also points out the existing problems. The main development directions of RNA secondary structure prediction algorithm is also be indicated.
引用
收藏
页码:955 / +
页数:4
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