RNA structure prediction: Progress and perspective

被引:29
|
作者
Shi Ya-Zhou
Wu Yuan-Yan
Wang Feng-Hua
Tan Zhi-Jie [1 ]
机构
[1] Wuhan Univ, Sch Phys & Technol, Dept Phys, Wuhan 430072, Peoples R China
基金
中国国家自然科学基金;
关键词
RNA structure prediction; secondary structure; three-dimensional (3D) structure; coarse-grained model; SECONDARY STRUCTURE PREDICTION; COARSE-GRAINED MODEL; DE-NOVO PREDICTION; 3-DIMENSIONAL STRUCTURE PREDICTION; CONSENSUS STRUCTURE PREDICTION; TERTIARY STRUCTURE PREDICTION; FOLDING KINETICS; 3D STRUCTURE; ION-BINDING; INCLUDING PSEUDOKNOTS;
D O I
10.1088/1674-1056/23/7/078701
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Many recent exciting discoveries have revealed the versatility of RNAs and their importance in a variety of cellular functions which are strongly coupled to RNA structures. To understand the functions of RNAs, some structure prediction models have been developed in recent years. In this review, the progress in computational models for RNA structure prediction is introduced and the distinguishing features of many outstanding algorithms are discussed, emphasizing three-dimensional (3D) structure prediction. A promising coarse-grained model for predicting RNA 3D structure, stability and salt effect is also introduced briefly. Finally, we discuss the major challenges in the RNA 3D structure modeling.
引用
收藏
页数:10
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