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PLoS Negl Trop Dis. 2016 Sep 12;10(9):e0004965. doi: 10.1371/journal.pntd.0004965. eCollection 2016 Sep.

DenHunt - A Comprehensive Database of the Intricate Network of Dengue-Human Interactions.

Author information

1
Department of Biochemistry, Center of Research and Post Graduate Studies, Indian Academy Degree College, Bengaluru, Karnataka, India.
2
IISc Mathematics Initiative, Indian Institute of Science, Bengaluru, Karnataka, India.
3
LifeIntelect Consultancy Pvt Ltd, Marathahalli, Bengaluru, Karnataka, India.
4
Department of Biotechnology, Center of Research and Post Graduate Studies, Indian Academy Degree College, Bengaluru, Karnataka, India.
5
Department of Molecular Virology & Microbiology, Baylor College of Medicine, Houston, Texas, United States of America.
6
Department of Biochemistry, Indian Institute of Science, Bengaluru, Karnataka, India.

Abstract

Dengue virus (DENV) is a human pathogen and its etiology has been widely established. There are many interactions between DENV and human proteins that have been reported in literature. However, no publicly accessible resource for efficiently retrieving the information is yet available. In this study, we mined all publicly available dengue-human interactions that have been reported in the literature into a database called DenHunt. We retrieved 682 direct interactions of human proteins with dengue viral components, 382 indirect interactions and 4120 differentially expressed human genes in dengue infected cell lines and patients. We have illustrated the importance of DenHunt by mapping the dengue-human interactions on to the host interactome and observed that the virus targets multiple host functional complexes of important cellular processes such as metabolism, immune system and signaling pathways suggesting a potential role of these interactions in viral pathogenesis. We also observed that 7 percent of the dengue virus interacting human proteins are also associated with other infectious and non-infectious diseases. Finally, the understanding that comes from such analyses could be used to design better strategies to counteract the diseases caused by dengue virus. The whole dataset has been catalogued in a searchable database, called DenHunt (http://proline.biochem.iisc.ernet.in/DenHunt/).

PMID:
27618709
PMCID:
PMC5019383
DOI:
10.1371/journal.pntd.0004965
[Indexed for MEDLINE]
Free PMC Article

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