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Methods and applications of RNA contact prediction

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成果类型:
期刊论文
作者:
Wang, Huiwen;Zhao, Yunjie*
通讯作者:
Zhao, Yunjie
作者机构:
[Zhao, Yunjie] Cent China Normal Univ, Inst Biophys, Wuhan 430079, Peoples R China.
Cent China Normal Univ, Dept Phys, Wuhan 430079, Peoples R China.
通讯机构:
[Zhao, Yunjie] C
Cent China Normal Univ, Inst Biophys, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
RNA structure;contact prediction;direct coupling analysis;network;machine learning
期刊:
中国物理B
ISSN:
1674-1056
年:
2020
卷:
29
期:
10
页码:
108708
基金类别:
Project supported by the National Natural Science Foundation of China (Grant No. 11704140) Self-determined Research Funds of CCNU from the Colleges' Basic Research and Operation of MOE (Grant No. CCNU20TS004).
机构署名:
本校为第一且通讯机构
院系归属:
物理科学与技术学院
心理学院
摘要:
The RNA tertiary structure is essential to understanding the function and biological processes. Unfortunately, it is still challenging to determine the large RNA structure from direct experimentation or computational modeling. One promising approach is first to predict the tertiary contacts and then use the contacts as constraints to model the structure. The RNA structure modeling depends on the contact prediction accuracy. Although many contact prediction methods have been developed in the protein field, there are only several contact prediction methods in the RNA field at present. Here, we f...

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