RNet: a network strategy to predict RNA binding preferences

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成果类型：

期刊论文

作者：

Liu, Haoquan;Jian, Yiren;Hou, Jinxuan;Zeng, Chen;Zhao, Yunjie

通讯作者：

Zhao, YJ

作者机构：

[Liu, Haoquan; Zhao, Yunjie] Cent China Normal Univ, Coll Phys Sci & Technol, Wuhan, Peoples R China.

[Zhao, Yunjie] Cent China Normal Univ, Inst Biophys, Dept Phys, Wuhan 430079, Peoples R China.

[Jian, Yiren] Dartmouth Coll, Hanover, NH USA.

[Hou, Jinxuan] Wuhan Univ, Dept Thyroid & Breast Surg, Zhongnan Hosp, Wuhan, Peoples R China.

[Zeng, Chen] Washington Univ, Dept Phys George, St Louis, MO USA.

通讯机构：

[Zhao, YJ ] C

Cent China Normal Univ, Inst Biophys, Dept Phys, Wuhan 430079, Peoples R China.

语种：

英文

关键词：

RNA binding site prediction;interface binding dynamical behavior;local and global network properties;distance-based graph algorithm

期刊：

BRIEFINGS IN BIOINFORMATICS

ISSN：

1467-5463

年：

2024

卷：

期：

DOI：

10.1093/bib/bbad482

基金类别：

National Natural Science Foundation of China (grant no. 12175081); Fundamental Research Funds for the Central Universities (grant no. CCNU22QN004).

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：

Determining the RNA binding preferences remains challenging because of the bottleneck of the binding interactions accompanied by subtle RNA flexibility. Typically, designing RNA inhibitors involves screening thousands of potential candidates for binding. Accurate binding site information can increase the number of successful hits even with few candidates. There are two main issues regarding RNA binding preference: binding site prediction and binding dynamical behavior prediction. Here, we propose one interpretable network-based approach, RNet, to acquire precise binding site and binding dynami...

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RNet: a network strategy to predict RNA binding preferences

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