RNA 3D Structure Prediction: Progress and Perspective

被引:6
|
作者
Wang, Xunxun [1 ]
Yu, Shixiong [1 ]
Lou, En [1 ]
Tan, Ya-Lan [2 ,3 ]
Tan, Zhi-Jie [1 ]
机构
[1] Wuhan Univ, Sch Phys & Technol, Dept Phys, Key Lab Artificial Micro & Nanostruct,Minist Educ, Wuhan 430072, Peoples R China
[2] Wuhan Text Univ, Sch Bioengn & Hlth, Wuhan 430200, Peoples R China
[3] Wuhan Text Univ, Sch Math & Phys Sci, Res Ctr Nonlinear Sci, Wuhan 430200, Peoples R China
来源
MOLECULES | 2023年 / 28卷 / 14期
基金
美国国家科学基金会;
关键词
RNA 3D structure; ensemble prediction; structure evaluation; structure refinement; DE-NOVO PREDICTION; DISCRETE MOLECULAR-DYNAMICS; KNOWLEDGE-BASED POTENTIALS; DIRECT-COUPLING ANALYSIS; FORCE-FIELD; REFERENCE STATE; NUCLEIC-ACIDS; THERMODYNAMIC PARAMETERS; SALT CONTRIBUTION; HELIX STABILITY;
D O I
10.3390/molecules28145532
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Ribonucleic acid (RNA) molecules play vital roles in numerous important biological functions such as catalysis and gene regulation. The functions of RNAs are strongly coupled to their structures or proper structure changes, and RNA structure prediction has been paid much attention in the last two decades. Some computational models have been developed to predict RNA three-dimensional (3D) structures in silico, and these models are generally composed of predicting RNA 3D structure ensemble, evaluating near-native RNAs from the structure ensemble, and refining the identified RNAs. In this review, we will make a comprehensive overview of the recent advances in RNA 3D structure modeling, including structure ensemble prediction, evaluation, and refinement. Finally, we will emphasize some insights and perspectives in modeling RNA 3D structures.
引用
收藏
页数:25
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