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BioMed Research International
Volume 2015, Article ID 671950, 11 pages
http://dx.doi.org/10.1155/2015/671950
Research Article

Predicting Long Noncoding RNA and Protein Interactions Using Heterogeneous Network Model

1School of Information Science and Technology, University of Science and Technology of China, 443 Huangshan Road, Hefei 230027, China
2Centers for Biomedical Engineering, University of Science and Technology of China, 443 Huangshan Road, Hefei 230027, China

Received 18 June 2015; Revised 16 November 2015; Accepted 1 December 2015

Academic Editor: Graziano Pesole

Copyright © 2015 Ao Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.