Prediction of lncRNA–Protein Interactions via the Multiple Information Integration [PDF]
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
doaj +4 more sources
LPIH2V: LncRNA-protein interactions prediction using HIN2Vec based on heterogeneous networks model
LncRNA-protein interaction plays an important role in the development and treatment of many human diseases. As the experimental approaches to determine lncRNA–protein interactions are expensive and time-consuming, considering that there are few ...
Meng-Meng Wei +8 more
doaj +4 more sources
LPI-NRLMF: lncRNA-protein interaction prediction by neighborhood regularized logistic matrix factorization. [PDF]
LncRNA-protein interactions play important roles in many important cellular processes including signaling, transcriptional regulation, and even the generation and progression of complex diseases.
Liu H +6 more
europepmc +5 more sources
Predicting lncRNA-protein interactions with bipartite graph embedding and deep graph neural networks
Background: Long non-coding RNAs (lncRNAs) play crucial roles in numerous biological processes. Investigation of the lncRNA-protein interaction contributes to discovering the undetected molecular functions of lncRNAs.
Yuzhou Ma +3 more
doaj +4 more sources
PRPI-SC: an ensemble deep learning model for predicting plant lncRNA-protein interactions [PDF]
Background Plant long non-coding RNAs (lncRNAs) play vital roles in many biological processes mainly through interactions with RNA-binding protein (RBP).
Haoran Zhou +3 more
doaj +4 more sources
Prediction of lncRNA-protein interactions using HeteSim scores based on heterogeneous networks
Massive studies have indicated that long non-coding RNAs (lncRNAs) are critical for the regulation of cellular biological processes by binding with RNA-related proteins.
Yun Xiao, Jingpu Zhang, Lei Deng
doaj +4 more sources
Protocol for detecting lncRNA-protein interaction in vivo using the yeast three-hybrid assay [PDF]
Summary: 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
doaj +4 more sources
Predicting lncRNA–Protein Interactions With miRNAs as Mediators in a Heterogeneous Network Model [PDF]
Long non-coding RNAs (lncRNAs) play important roles in various biological processes, where lncRNA–protein interactions are usually involved. Therefore, identifying lncRNA–protein interactions is of great significance to understand the molecular functions
Yuan-Ke Zhou +5 more
doaj +4 more sources
LPI-SKF: Predicting lncRNA-Protein Interactions Using Similarity Kernel Fusions [PDF]
Long non-coding RNAs (lncRNAs) play an important role in serval biological activities, including transcription, splicing, translation, and some other cellular regulation processes.
Yuan-Ke Zhou +4 more
doaj +4 more sources
Long non-coding RNAs (lncRNAs) play a regulatory role in many biological cells, and the recognition of lncRNA-protein interactions is helpful to reveal the functional mechanism of lncRNAs.
Jinmiao Song +7 more
doaj +2 more sources

