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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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Relevance search for predicting lncRNA–protein interactions based on heterogeneous network
Neurocomputing, 2016lncRNA plays important roles in many biological and pathological processes. lncRNAprotein interaction is the most common way of lncRNA performing their functions. Thus, predicting lncRNAprotein interaction is very significant to understand the nature of lncRNA.
Jianghong Yang +3 more
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Interdisciplinary Sciences Computational Life Sciences, 2022
Lihong Peng +3 more
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Lihong Peng +3 more
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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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A text feature-based approach for literature mining of lncRNA–protein interactions
Neurocomputing, 2016Long non-coding RNAs (lncRNAs) play important roles in regulating transcriptional and post-transcriptional levels. Currently, Knowledge of lncRNA and protein interactions (LPIs) is crucial for biomedical researches that are related to lncRNA. Many freshly discovered LPIs are stored in biomedical literature.
Ao Li +3 more
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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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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
Prediction of LncRNA-protein Interactions Using Auto-Encoder, SE-ResNet Models and Transfer Learning
MicroRNABackground: Long non-coding RNA (lncRNA) plays a crucial role in various biolog-ical processes, and mutations or imbalances of lncRNAs can lead to several diseases, including cancer, Prader-Willi syndrome, autism, Alzheimer's disease, cartilage-hair hypoplasia, and hear-ing loss.
Jiang Huiwen, Song Kai
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