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Predicted protein interactions of IFITMs which inhibit Zika virus infection [version 1; referees: 1 approved, 1 approved with reservations, 1 not approved]

Ganapathiraju, MK (2016) Predicted protein interactions of IFITMs which inhibit Zika virus infection [version 1; referees: 1 approved, 1 approved with reservations, 1 not approved]. F1000Research, 5. ISSN 2046-1402

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Abstract

© 2016 Ganapathiraju MK. After the first reported case of Zika virus in Brazil, in 2015, a significant increase in the reported cases of microcephaly was observed. Microcephaly is a neurological condition in which the infant's head is significantly smaller with complications in brain development. Recently, two small membrane-associated interferon-inducible transmembrane proteins (IFITM1 and IFITM3) have been shown to repress members of the flaviviridae family which includes the Zika virus. However, the exact mechanisms leading to the inhibition of the virus are yet unknown. Here, we assembled an interactome of IFITM1 and IFITM3 with known protein-protein interactions (PPIs) collected from publicly available databases and novel PPIs predicted using High-confidence Protein-Protein Interaction Prediction (HiPPIP) model. We analyzed the functional and pathway associations of the interacting proteins, and found that there are several immunity pathways (interferon signaling, cd28 signaling in T-helper cells crosstalk between dendritic cells and natural killer cells), neuronal pathways (axonal guidance signaling, neural tube closure and actin cytoskeleton signaling) and developmental pathways that are associated with these interactors. These results could help direct future research in elucidating the mechanisms underlying the viral immunity to Zika virus and other flaviviruses.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Ganapathiraju, MKmadhavi@pitt.eduMADHAVI
Contributors:
ContributionContributors NameEmailPitt UsernameORCID
ReviewerKlein-Seetharaman, JudithUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date: 1 January 2016
Date Type: Publication
Journal or Publication Title: F1000Research
Volume: 5
DOI or Unique Handle: 10.12688/f1000research.9364.1
Schools and Programs: School of Medicine > Biomedical Informatics
Refereed: Yes
ISSN: 2046-1402
Date Deposited: 29 Nov 2016 20:48
Last Modified: 02 Feb 2019 14:55
URI: http://d-scholarship.pitt.edu/id/eprint/30102

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