LncRNA–protein interaction prediction with reweighted feature selection [PDF]
BMC Bioinformatics, 2023 LncRNA–protein interactions are ubiquitous in organisms and play a crucial role in a variety of biological processes and complex diseases. Many computational methods have been reported for lncRNA–protein interaction prediction.
Guohao Lv +8 more
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Predicting lncRNA–Protein Interaction With Weighted Graph-Regularized Matrix Factorization [PDF]
Frontiers in Genetics, 2021 Long non-coding RNAs (lncRNAs) are widely concerned because of their close associations with many key biological activities. Though precise functions of most lncRNAs are unknown, research works show that lncRNAs usually exert biological function by ...
Xibo Sun +7 more
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A Hybrid Prediction Method for Plant lncRNA-Protein Interaction [PDF]
Cells, 2019 Long non-protein-coding RNAs (lncRNAs) identification and analysis are pervasive in transcriptome studies due to their roles in biological processes. In particular, lncRNA-protein interaction has plausible relevance to gene expression regulation and in ...
Jael Sanyanda Wekesa +3 more
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Projection-Based Neighborhood Non-Negative Matrix Factorization for lncRNA-Protein Interaction Prediction [PDF]
Frontiers in Genetics, 2019 Many long ncRNAs (lncRNA) make their effort by interacting with the corresponding RNA-binding proteins, and identifying the interactions between lncRNAs and proteins is important to understand the functions of lncRNA. Compared with the time-consuming and
Yingjun Ma +5 more
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LPInsider: a webserver for lncRNA–protein interaction extraction from the literature [PDF]
BMC Bioinformatics, 2022 Background Long non-coding RNA (LncRNA) plays important roles in physiological and pathological processes. Identifying LncRNA–protein interactions (LPIs) is essential to understand the molecular mechanism and infer the functions of lncRNAs.
Ying Li +6 more
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Protocol for detecting lncRNA-protein interaction in vivo using the yeast three-hybrid assay [PDF]
STAR ProtocolsSummary: Analyses of long non-coding RNA (lncRNA)-protein interactions provide key clues for understanding the molecular basis of lncRNA-modulated biological processes. Here, we detail a yeast three-hybrid assay to identify the lncRNA-interacting protein.
Jingjing Cai +5 more
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Prediction of lncRNA–Protein Interactions via the Multiple Information Integration [PDF]
Frontiers in Bioengineering and Biotechnology, 2021 The long non-coding RNA (lncRNA)–protein interaction plays an important role in the post-transcriptional gene regulation, such as RNA splicing, translation, signaling, and the development of complex diseases.
Yifan Chen +5 more
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LPI-EnEDT: an ensemble framework with extra tree and decision tree classifiers for imbalanced lncRNA-protein interaction data classification [PDF]
BioData Mining, 2021 Background Long noncoding RNAs (lncRNAs) have dense linkages with various biological processes. Identifying interacting lncRNA-protein pairs contributes to understand the functions and mechanisms of lncRNAs. Wet experiments are costly and time-consuming.
Lihong Peng +4 more
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Long Non-Coding RNA Encoded by Infectious Bronchitis Virus Facilitates Viral Replication via Direct Interaction with G3BP2 and Expression Regulation of a Novel Host MicroRNA [PDF]
Veterinary SciencesLong non-coding RNAs (lncRNAs) encoded by viruses play crucial roles in viral infection, pathogenesis processes, the interaction between viruses and hosts, and immune escape.
Mingjing Zhang +5 more
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Integrated Bioinformatics Analysis Reveals the Impact of SHEV ORF3-Related LncRNA Network on Bile Secretion Pathway (ko 04976) in HepG2 Cells [PDF]
Veterinary Sciences(1) Background: Swine hepatitis E (SHE) is an emerging zoonotic disease caused by the swine hepatitis E virus (SHEV). The open reading frame 3 (ORF3) protein is a recognized virulence factor of SHEV.
Hanwei Jiao +7 more
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