Predicting Long Noncoding RNA and Protein Interactions Using Heterogeneous Network Model
Joint Authors
Li, Ao
Wang, Minghui
Ge, Mengqu
Zhang, Yao
Peng, Chen
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-12-29
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Recent study shows that long noncoding RNAs (lncRNAs) are participating in diverse biological processes and complex diseases.
However, at present the functions of lncRNAs are still rarely known.
In this study, we propose a network-based computational method, which is called lncRNA-protein interaction prediction based on Heterogeneous Network Model (LPIHN), to predict the potential lncRNA-protein interactions.
First, we construct a heterogeneous network by integrating the lncRNA-lncRNA similarity network, lncRNA-protein interaction network, and protein-protein interaction (PPI) network.
Then, a random walk with restart is implemented on the heterogeneous network to infer novel lncRNA-protein interactions.
The leave-one-out cross validation test shows that our approach can achieve an AUC value of 96.0%.
Some lncRNA-protein interactions predicted by our method have been confirmed in recent research or database, indicating the efficiency of LPIHN to predict novel lncRNA-protein interactions.
American Psychological Association (APA)
Li, Ao& Ge, Mengqu& Zhang, Yao& Peng, Chen& Wang, Minghui. 2015. Predicting Long Noncoding RNA and Protein Interactions Using Heterogeneous Network Model. BioMed Research International،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1056333
Modern Language Association (MLA)
Li, Ao…[et al.]. Predicting Long Noncoding RNA and Protein Interactions Using Heterogeneous Network Model. BioMed Research International No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1056333
American Medical Association (AMA)
Li, Ao& Ge, Mengqu& Zhang, Yao& Peng, Chen& Wang, Minghui. Predicting Long Noncoding RNA and Protein Interactions Using Heterogeneous Network Model. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1056333
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1056333