RNA structure prediction:Progress and perspective  

作　　者：时亚洲 吴园燕 王凤华 谭志杰 

机构地区：[1]Department of Physics and Key Laboratory of Artificial Micro- and Nano-structures of Ministry of Education,School of Physics and Technology,Wuhan University

出　　处：《Chinese Physics B》2014年第7期88-97,共10页中国物理B（英文版）

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

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.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.

关 键 词：RNA structure prediction secondary structure three-dimensional （3D） structure coarse-grainedmodel 

分 类 号：Q522[生物学—生物化学]