AUTHOR=Xie Guobo , Wu Cuiming , Sun Yuping , Fan Zhiliang , Liu Jianghui 

TITLE=LPI-IBNRA: Long Non-coding RNA-Protein Interaction Prediction Based on Improved Bipartite Network Recommender Algorithm

JOURNAL=Frontiers in Genetics

VOLUME=Volume 10 - 2019

YEAR=2019

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2019.00343

DOI=10.3389/fgene.2019.00343

ISSN=1664-8021

ABSTRACT=According to latest researches, lncRNAs (long non-coding RNAs) play broad and important roles in various biological processes by interacting with proteins. However, identifying whether proteins interact with a specific lncRNA by biological experimental methods are difficult, costly and time-consuming. Thus, many bioinformatics computational methods have been proposed to predict lncRNA-protein interactions. In this work, we proposed a novel approach called Long non- coding RNA-Protein Interaction prediction based on Improved Bipartite Network Recommender Algorithm (LPI-IBNRA). In the proposed method, we implemented a two-round resource score allocation and eliminated the second-order correlations appropriately on the bipartite network. Experimental results illustrated that LPI-IBNRA outperformed five previous methods, with the AUC values of 0.8932 in leave-one-out cross validation (LOOCV) and 0.8819±0.0052 in 10-fold cross validation respectively. Finally, case studies on four lncRNAs were carried out to show the predictive power of LPI-IBNRA.