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Diverging RNPs: Toward Understanding lncRNA-Protein Interactions and Functions
2019RNA-protein interactions are essential to a variety of biological processes. The realization that mammalian genomes are pervasively transcribed brought a tidal wave of tens of thousands of newly identified long noncoding RNAs (lncRNAs) and raised questions about their purpose in cells. The vast majority of lncRNAs have yet to be studied, and it remains
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Structure-Based Prediction of lncRNA–Protein Interactions by Deep Learning
The interactions between long noncoding RNA (lncRNA) and protein play crucial roles in various biological processes. Computational methods are essential for predicting lncRNA-protein interactions and deciphering their mechanisms. In this chapter, we aim to introduce the fundamental framework for predicting lncRNA-protein interactions based on three ...Pengpai, Li, Zhi-Ping, Liu
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IEEE Journal of Biomedical and Health Informatics
The complexes of long non-coding RNAs bound to proteins can be involved in regulating life activities at various stages of organisms. However, in the face of the growing number of lncRNAs and proteins, verifying LncRNA-Protein Interactions (LPI) based on traditional biological experiments is time-consuming and laborious. Therefore, with the improvement
Cong Shen +4 more
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The complexes of long non-coding RNAs bound to proteins can be involved in regulating life activities at various stages of organisms. However, in the face of the growing number of lncRNAs and proteins, verifying LncRNA-Protein Interactions (LPI) based on traditional biological experiments is time-consuming and laborious. Therefore, with the improvement
Cong Shen +4 more
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Predicting lncRNA-protein interactions based on graph autoencoders and collaborative training
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021Chen Jin +3 more
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Prediction of Plant lncRNA-Protein Interactions Using Sequence Information Based on Deep Learning
2019Plant long non-coding RNA (lncRNA) plays an important role in many biological processes, mainly through its interaction with RNA binding protein (RBP). To understand the function of lncRNA, a basic step is to determine which proteins are interacted with lncRNA. Therefore, RBP can be predicted by computational approaches.
Haoran Zhou +3 more
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Prediction of lncrna-protein interactions based on deep learning model
One main function of long non-coding RNAs (lncRNAs) is to act as a scaffold facilitating multiple proteins to form complexes. Most of available prediction models for protein-RNA interactions, however, were proposed as a binary classifier, which limited on predicting the interaction between the non-coding RNAs and each individual RNA-binding protein ...openaire +1 more source