Predicting dynamic cellular protein–RNA interactions by deep learning using in vivo RNA structures

Interactions with RNA-binding proteins (RBPs) are integral to RNA function and cellular regulation, and dynamically reflect specific cellular conditions. However, presently available tools for predicting RBP–RNA interactions employ RNA sequence and/or predicted RNA structures, and therefore do not c...

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Veröffentlicht in:	Cell research 2021-05, Vol.31 (5), p.495-516
Hauptverfasser:	Sun, Lei, Xu, Kui, Huang, Wenze, Yang, Yucheng T., Li, Pan, Tang, Lei, Xiong, Tuanlin, Zhang, Qiangfeng Cliff
Format:	Artikel
Sprache:	eng
Schlagworte:	45/43 45/91 631/1647/48 631/337 631/80/304 Binding Sites Biomedical and Life Sciences Cell Biology Cellular structure Deep Learning Depth profiling Gene expression Humans Life Sciences Nucleotide sequence Nucleotides Protein Binding Proteins Ribonucleic acid RNA RNA - metabolism RNA-binding protein RNA-Binding Proteins - genetics RNA-Binding Proteins - metabolism Transcriptome Transcriptomes
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