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New targets for Zika Virus determined by human-viral interactomic: a bioinformatics approach

dc.contributor.authorEsteves, Eduardo
dc.contributor.authorRosa, Nuno
dc.contributor.authorCorreia, Maria José
dc.contributor.authorArrais, Joel P.
dc.contributor.authorBarros, Marlene
dc.date.accessioned2021-05-26T16:05:38Z
dc.date.available2021-05-26T16:05:38Z
dc.date.issued2017-01-01
dc.description.abstractIdentifying ZIKV factors interfering with human host pathways represents a major challenge in understanding ZIKV tropism and pathogenesis. The integration of proteomic, gene expression and Protein-Protein Interactions (PPIs) established between ZIKV and human host proteins predicted by the OralInt algorithm identified 1898 interactions with medium or high score (≥0.7). Targets implicated in vesicular traffic and docking were identified. New receptors involved in endocytosis pathways as ZIKV entry targets, using both clathrin-dependent (17 receptors) and independent (10 receptors) pathways, are described. New targets used by the ZIKV to undermine the host's antiviral immune response are proposed based on predicted interactions established between the virus and host cell receptors and/or proteins with an effector or signaling role in the immune response such as IFN receptors and TLR. Complement and cytokines are proposed as extracellular potential interacting partners of the secreted form of NS1 ZIKV protein. Altogether, in this article, 18 new human targets for structural and nonstructural ZIKV proteins are proposed. These results are of great relevance for the understanding of viral pathogenesis and consequently the development of preventive (vaccines) and therapeutic targets for ZIKV infection management.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1155/2017/1734151pt_PT
dc.identifier.eid85042147818
dc.identifier.issn2314-6133
dc.identifier.pmcPMC5742907
dc.identifier.pmid29379794
dc.identifier.urihttp://hdl.handle.net/10400.14/33291
dc.identifier.wos000417746100001
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationLINK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.titleNew targets for Zika Virus determined by human-viral interactomic: a bioinformatics approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleBioMed Research Internationalpt_PT
oaire.citation.volume2017pt_PT
person.familyNameEsteves
person.familyNameRosa
person.familyNameCorreia
person.familyNameBarros
person.givenNameEduardo
person.givenNameNuno
person.givenNameMaria
person.givenNameMarlene
person.identifier283619
person.identifierAAG-6405-2021
person.identifier.ciencia-id8314-25F5-F0C8
person.identifier.ciencia-id1212-7478-6859
person.identifier.ciencia-idC511-A84D-54AE
person.identifier.ciencia-id3211-1B4F-C7F6
person.identifier.orcid0000-0001-5458-4978
person.identifier.orcid0000-0003-4604-0780
person.identifier.orcid0000-0002-6141-9089
person.identifier.orcid0000-0003-0631-4062
person.identifier.ridA-5627-2013
person.identifier.ridH-9952-2012
person.identifier.scopus-author-id57076160300
person.identifier.scopus-author-id35081186500
person.identifier.scopus-author-id7102145871
person.identifier.scopus-author-id7102895790
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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