Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/108100
DC Field | Value | Language |
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dc.contributor.author | Esteves, Eduardo | - |
dc.contributor.author | Rosa, Nuno | - |
dc.contributor.author | Correia, Maria José | - |
dc.contributor.author | Arrais, Joel P. | - |
dc.contributor.author | Barros, Marlene Maria Tourais de | - |
dc.date.accessioned | 2023-08-11T09:28:17Z | - |
dc.date.available | 2023-08-11T09:28:17Z | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 2314-6133 | pt |
dc.identifier.issn | 2314-6141 | pt |
dc.identifier.uri | https://hdl.handle.net/10316/108100 | - |
dc.description.abstract | Identifying 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 |
dc.language.iso | eng | pt |
dc.publisher | Hindawi | pt |
dc.relation | UID/MULTI/4279/2016 | pt |
dc.relation | SalivaTec through Mais CENTRO: Programa Operacional Regional do Centro under the Quadro de Referˆencia Estrat´egico Nacional (QREN) and through the Fundo Europeu deDesenvolvimento Regional (FEDER) (CENTRO-07-CT62-FEDER- 005004) | pt |
dc.rights | openAccess | pt |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt |
dc.subject.mesh | Female | pt |
dc.subject.mesh | Humans | pt |
dc.subject.mesh | Male | pt |
dc.subject.mesh | Viral Proteins | pt |
dc.subject.mesh | Viral Vaccines | pt |
dc.subject.mesh | Zika Virus | pt |
dc.subject.mesh | Zika Virus Infection | pt |
dc.subject.mesh | Computational Biology | pt |
dc.subject.mesh | Models, Immunological | pt |
dc.title | New Targets for Zika Virus Determined by Human-Viral Interactomic: A Bioinformatics Approach | pt |
dc.type | article | - |
degois.publication.firstPage | 1734151 | pt |
degois.publication.lastPage | 15 | pt |
degois.publication.title | BioMed Research International | pt |
dc.peerreviewed | yes | pt |
dc.identifier.doi | 10.1155/2017/1734151 | pt |
degois.publication.volume | 2017 | pt |
dc.date.embargo | 2017-01-01 | * |
uc.date.periodoEmbargo | 0 | pt |
item.languageiso639-1 | en | - |
item.fulltext | Com Texto completo | - |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
crisitem.project.grantno | Centro de Investigação Interdisciplinar em Saúde | - |
crisitem.author.researchunit | ADAI - Association for the Development of Industrial Aerodynamics | - |
crisitem.author.researchunit | CISUC - Centre for Informatics and Systems of the University of Coimbra | - |
crisitem.author.parentresearchunit | Faculty of Sciences and Technology | - |
crisitem.author.orcid | 0000-0002-1314-165X | - |
crisitem.author.orcid | 0000-0003-4937-2334 | - |
Appears in Collections: | I&D CISUC - Artigos em Revistas Internacionais |
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File | Description | Size | Format | |
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New-Targets-for-Zika-Virus-Determined-by-HumanViral-Interactomic-A-Bioinformatics-ApproachBioMed-Research-International.pdf | 2.42 MB | Adobe PDF | View/Open |
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