title: Predicting Long Noncoding RNA and Protein Interactions Using Heterogeneous Network Model.
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.
authors.affiliation: School of Information Science and Technology, University of Science and Technology of China, 443 Huangshan Road, Hefei 230027, China; Centers for Biomedical Engineering, University of Science and Technology of China, 443 Huangshan Road, Hefei 230027, China.
authors.forename: Ao
authors.identifier: 0000-0001-9910-8967
authors.initials: A
authors.lastname: Li
authors.affiliation: School of Information Science and Technology, University of Science and Technology of China, 443 Huangshan Road, Hefei 230027, China.
authors.forename: Mengqu
authors.identifier: 0000-0001-5185-7045
authors.initials: M
authors.lastname: Ge
authors.affiliation: School of Information Science and Technology, University of Science and Technology of China, 443 Huangshan Road, Hefei 230027, China.
authors.forename: Yao
authors.identifier: 0000-0001-8891-7435
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: School of Information Science and Technology, University of Science and Technology of China, 443 Huangshan Road, Hefei 230027, China.
authors.forename: Chen
authors.identifier: 0000-0001-8251-917X
authors.initials: C
authors.lastname: Peng
authors.affiliation: School of Information Science and Technology, University of Science and Technology of China, 443 Huangshan Road, Hefei 230027, China; Centers for Biomedical Engineering, University of Science and Technology of China, 443 Huangshan Road, Hefei 230027, China.
authors.forename: Minghui
authors.identifier: 0000-0002-5788-894X
authors.initials: M
authors.lastname: Wang
mesh_terms: D003198:Computer Simulation; D030541:Databases, Genetic; D016571:Neural Networks, Computer; D062085:RNA, Long Noncoding / Q000235:genetics / Q000378:metabolism; D016601:RNA-Binding Proteins / Q000235:genetics / Q000378:metabolism
chemical_list: D062085:RNA, Long Noncoding; D016601:RNA-Binding Proteins
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