LPIH2V: LncRNA-protein interactions prediction using HIN2Vec based on heterogeneous networks model
Frontiers in Genetics, 2023 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
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Predicting lncRNA-protein interactions with bipartite graph embedding and deep graph neural networks
Frontiers in Genetics, 2023 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
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Predicting lncRNA–Protein Interactions With miRNAs as Mediators in a Heterogeneous Network Model [PDF]
Frontiers in Genetics, 2020 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
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Prediction of lncRNA-protein interactions using HeteSim scores based on heterogeneous networks
Scientific Reports, 2017 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
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PRPI-SC: an ensemble deep learning model for predicting plant lncRNA-protein interactions [PDF]
BMC Bioinformatics, 2021 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
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LPI-SKF: Predicting lncRNA-Protein Interactions Using Similarity Kernel Fusions [PDF]
Frontiers in Genetics, 2020 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
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Capsule-LPI: a LncRNA-protein interaction predicting tool based on a capsule network. [PDF]
BMC Bioinformatics, 2021 Abstract Background Long noncoding RNAs (lncRNAs) play important roles in multiple biological processes. Identifying LncRNA–protein interactions (LPIs) is key to understanding lncRNA functions. Although some LPIs computational methods have been developed, the LPIs prediction problem remains challenging.
Li Y +5 more
europepmc +5 more sources
Predicting lncRNA–Protein Interactions by Heterogenous Network Embedding [PDF]
Frontiers in Genetics, 2022 lncRNA–protein interactions play essential roles in a variety of cellular processes. However, the experimental methods for systematically mapping of lncRNA–protein interactions remain time-consuming and expensive. Therefore, it is urgent to develop reliable computational methods for predicting lncRNA–protein interactions.
Guoqing Zhao +4 more
openaire +3 more sources
A Survey of Current Resources to Study lncRNA-protein Interactions. [PDF]
Non-Coding RNA, 2021 Phenotypes are driven by regulated gene expression, which in turn are mediated by complex interactions between diverse biological molecules. Protein-DNA interactions such as histone and transcription factor binding are well studied, along with RNA-RNA interactions in short RNA silencing of genes. In contrast, lncRNA-protein interaction (LPI) mechanisms
Melcy Philip, Tyrone Chen, Sonika Tyagi
openaire +4 more sources
LPI-NRLMF: lncRNA-protein interaction prediction by neighborhood regularized logistic matrix factorization. [PDF]
Oncotarget, 2017 LncRNA-protein interactions play important roles in many important cellular processes including signaling, transcriptional regulation, and even the generation and progression of complex diseases. However, experimental methods for determining proteins bound by a specific lncRNA remain expensive, difficult and time-consuming, and only a few theoretical ...
Liu H +6 more
europepmc +4 more sources