A Novel Method for Identifying Essential Genes by Fusing Dynamic Protein–Protein Interactive Networks
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Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650093, China
2
Computer Center of Kunming University of Science and Technology, Kunming 650093, China
3
Faculty of Management and Economics, Kunming University of Science and Technology, Kunming 650093, China
*
Author to whom correspondence should be addressed.
Genes 2019, 10(1), 31; https://doi.org/10.3390/genes10010031
Received: 13 November 2018
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Revised: 24 December 2018
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Accepted: 2 January 2019
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Published: 8 January 2019
(This article belongs to the Special Issue Selected Papers from the Third CFF Bioinformatics Conference (CBC2018))
Essential genes play an indispensable role in supporting the life of an organism. Identification of essential genes helps us to understand the underlying mechanism of cell life. The essential genes of bacteria are potential drug targets of some diseases genes. Recently, several computational methods have been proposed to detect essential genes based on the static protein–protein interactive (PPI) networks. However, these methods have ignored the fact that essential genes play essential roles under certain conditions. In this work, a novel method was proposed for the identification of essential proteins by fusing the dynamic PPI networks of different time points (called by FDP). Firstly, the active PPI networks of each time point were constructed and then they were fused into a final network according to the networks’ similarities. Finally, a novel centrality method was designed to assign each gene in the final network a ranking score, whilst considering its orthologous property and its global and local topological properties in the network. This model was applied on two different yeast data sets. The results showed that the FDP achieved a better performance in essential gene prediction as compared to other existing methods that are based on the static PPI network or that are based on dynamic networks.
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MDPI and ACS Style
Zhang, F.; Peng, W.; Yang, Y.; Dai, W.; Song, J. A Novel Method for Identifying Essential Genes by Fusing Dynamic Protein–Protein Interactive Networks. Genes 2019, 10, 31. https://doi.org/10.3390/genes10010031
AMA Style
Zhang F, Peng W, Yang Y, Dai W, Song J. A Novel Method for Identifying Essential Genes by Fusing Dynamic Protein–Protein Interactive Networks. Genes. 2019; 10(1):31. https://doi.org/10.3390/genes10010031
Chicago/Turabian StyleZhang, Fengyu, Wei Peng, Yunfei Yang, Wei Dai, and Junrong Song. 2019. "A Novel Method for Identifying Essential Genes by Fusing Dynamic Protein–Protein Interactive Networks" Genes 10, no. 1: 31. https://doi.org/10.3390/genes10010031
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