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Combinatorial Chemistry & High Throughput Screening

Editor-in-Chief

ISSN (Print): 1386-2073
ISSN (Online): 1875-5402

Research Article

Prediction of the Ebola Virus Infection Related Human Genes Using Protein-Protein Interaction Network

Author(s): HuanHuan Cao, YuHang Zhang, Jia Zhao, Liucun Zhu, Yi Wang, JiaRui Li*, Yuan-Ming Feng* and Ning Zhang*

Volume 20, Issue 7, 2017

Page: [638 - 646] Pages: 9

DOI: 10.2174/1386207320666170310114816

Price: $65

Abstract

Background: Ebola hemorrhagic fever (EHF) is caused by Ebola virus (EBOV). It is reported that human could be infected by EBOV with a high fatality rate. However, association factors between EBOV and host still tend to be ambiguous.

Objective: According to the “guilt by association” (GBA) principle, proteins interacting with each other are very likely to function similarly or the same. Based on this assumption, we tried to obtain EBOV infection-related human genes in a protein-protein interaction network using Dijkstra algorithm.

Conclusion: We hope it could contribute to the discovery of novel effective treatments. Finally, 15 genes were selected as potential EBOV infection-related human genes.

Keywords: Ebola virus, pathogenic mechanism, shortest path, human protein identification, betweenness, GO enrichment.


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