Challenges in structural modeling of RNA-protein interactions

被引：7

作者：

Liu, Xudong ^{[1
]}

Duan, Yingtian ^{[1
]}

Hong, Xu ^{[1
]}

Xie, Juan ^{[1
]}

Liu, Shiyong ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Phys, Wuhan 430074, Hubei, Peoples R China

来源：

CURRENT OPINION IN STRUCTURAL BIOLOGY | 2023年 / 81卷

基金：

中国国家自然科学基金;

关键词：

WEB SERVER; RESIDUE CONTACTS; FORCE-FIELD; DOCKING; PREDICTION; BINDING; DYNAMICS; COMPLEX; PSEUDOURIDINE; ACCURACY;

D O I：

10.1016/j.sbi.2023.102623

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：

In the past few years, the number of RNA-binding proteins (RBP) and RNA-RBP interactions has increased significantly. Here, we review recent developments in the methodology for protein-RNA and protein-protein complex structure modeling with deep learning and co-evolution, as well as discuss the challenges and opportunities for building a reliable approach for protein-RNA complex structure modelling. Protein Data bank (PDB) and Cross-linking immunoprecipitation (CLIP) data could be combined together and used to infer 2D geometry of protein-RNA interactions by deep learning.

引用

页数：8

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