RNA structure prediction：Progress and perspective

doi:10.1088/1674-1056/23/7/078701

Abstract 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.

Keywords: RNA structure prediction secondary structure three-dimensional (3D) structure coarse-grained model

Received: 17 February 2014
Revised: 15 April 2014
Accepted manuscript online:

PACS:	87.14.gn	(RNA)
	87.15.bd	(Secondary structure)
	87.15.bg	(Tertiary structure)
	87.15.Cc	(Folding: thermodynamics, statistical mechanics, models, and pathways)

Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 11074191, 11175132, and 11374234), the National Basic Research Program of China (Grant No. 2011CB933600), and the Program for New Century Excellent Talents of China (Grant No. NCET 08-0408).

Corresponding Authors: Tan Zhi-Jie
E-mail: zjtan@whu.edu.cn

About author: 87.14.gn; 87.15.bd; 87.15.bg; 87.15.Cc

Cite this article:

Shi Ya-Zhou (时亚洲), Wu Yuan-Yan (吴园燕), Wang Feng-Hua (王凤华), Tan Zhi-Jie (谭志杰) RNA structure prediction：Progress and perspective 2014 Chin. Phys. B 23 078701

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