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Evaluating native-like structures of RNA-protein complexes through the deep learning method

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成果类型:
期刊论文
作者:
Zeng, Chengwei;Jian, Yiren;Vosoughi, Soroush;Zeng, Chen;Zhao, Yunjie*
通讯作者:
Zhao, Yunjie
作者机构:
[Zeng, Chengwei; Zhao, Yunjie] Cent China Normal Univ, Inst Biophys, Wuhan 430079, Peoples R China.
[Zeng, Chengwei; Zhao, Yunjie] Cent China Normal Univ, Dept Phys, Wuhan 430079, Peoples R China.
[Jian, Yiren; Vosoughi, Soroush] Dartmouth Coll, Dept Comp Sci, Hanover, NH 03755 USA.
[Zeng, Chen] George Washington Univ, Dept Phys, Washington, DC 20052 USA.
通讯机构:
[Zhao, Yunjie] I
Institute of Biophysics and Department of Physics, Central China Normal University, Wuhan, China
语种:
英文
期刊:
Nature Communications
ISSN:
2041-1723
年:
2023
卷:
14
期:
1
基金类别:
National Natural Science Foundation of China [12175081]; Fundamental Research Funds for the Central Universities [CCNU22QN004]
机构署名:
本校为第一机构
院系归属:
物理科学与技术学院
心理学院
摘要:
RNA-protein complexes underlie numerous cellular processes, including basic translation and gene regulation. The high-resolution structure determination of the RNA-protein complexes is essential for elucidating their functions. Therefore, computational methods capable of identifying the native-like RNA-protein structures are needed. To address this challenge, we thus develop DRPScore, a deep-learning-based approach for identifying native-like RNA-protein structures. DRPScore is tested on representative sets of RNA-protein complexes with various...

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