New Targets for Zika Virus Determined by Human-Viral Interactomic: A Bioinformatics Approach

Detalhes bibliográficos
Autor(a) principal: Esteves, Eduardo
Data de Publicação: 2017
Outros Autores: Rosa, Nuno, Correia, Maria José, Arrais, Joel P., Barros, Marlene Maria Tourais de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
DOI: 10.1155/2017/1734151
Texto Completo: http://hdl.handle.net/10316/108100
https://doi.org/10.1155/2017/1734151
Resumo: 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.
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spelling New Targets for Zika Virus Determined by Human-Viral Interactomic: A Bioinformatics ApproachFemaleHumansMaleViral ProteinsViral VaccinesZika VirusZika Virus InfectionComputational BiologyModels, ImmunologicalIdentifying 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.Hindawi2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/108100http://hdl.handle.net/10316/108100https://doi.org/10.1155/2017/1734151eng2314-61332314-6141Esteves, EduardoRosa, NunoCorreia, Maria JoséArrais, Joel P.Barros, Marlene Maria Tourais deinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-11T09:28:17Zoai:estudogeral.uc.pt:10316/108100Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:24:22.021614Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv New Targets for Zika Virus Determined by Human-Viral Interactomic: A Bioinformatics Approach
title New Targets for Zika Virus Determined by Human-Viral Interactomic: A Bioinformatics Approach
spellingShingle New Targets for Zika Virus Determined by Human-Viral Interactomic: A Bioinformatics Approach
New Targets for Zika Virus Determined by Human-Viral Interactomic: A Bioinformatics Approach
Esteves, Eduardo
Female
Humans
Male
Viral Proteins
Viral Vaccines
Zika Virus
Zika Virus Infection
Computational Biology
Models, Immunological
Esteves, Eduardo
Female
Humans
Male
Viral Proteins
Viral Vaccines
Zika Virus
Zika Virus Infection
Computational Biology
Models, Immunological
title_short New Targets for Zika Virus Determined by Human-Viral Interactomic: A Bioinformatics Approach
title_full New Targets for Zika Virus Determined by Human-Viral Interactomic: A Bioinformatics Approach
title_fullStr New Targets for Zika Virus Determined by Human-Viral Interactomic: A Bioinformatics Approach
New Targets for Zika Virus Determined by Human-Viral Interactomic: A Bioinformatics Approach
title_full_unstemmed New Targets for Zika Virus Determined by Human-Viral Interactomic: A Bioinformatics Approach
New Targets for Zika Virus Determined by Human-Viral Interactomic: A Bioinformatics Approach
title_sort New Targets for Zika Virus Determined by Human-Viral Interactomic: A Bioinformatics Approach
author Esteves, Eduardo
author_facet Esteves, Eduardo
Esteves, Eduardo
Rosa, Nuno
Correia, Maria José
Arrais, Joel P.
Barros, Marlene Maria Tourais de
Rosa, Nuno
Correia, Maria José
Arrais, Joel P.
Barros, Marlene Maria Tourais de
author_role author
author2 Rosa, Nuno
Correia, Maria José
Arrais, Joel P.
Barros, Marlene Maria Tourais de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Esteves, Eduardo
Rosa, Nuno
Correia, Maria José
Arrais, Joel P.
Barros, Marlene Maria Tourais de
dc.subject.por.fl_str_mv Female
Humans
Male
Viral Proteins
Viral Vaccines
Zika Virus
Zika Virus Infection
Computational Biology
Models, Immunological
topic Female
Humans
Male
Viral Proteins
Viral Vaccines
Zika Virus
Zika Virus Infection
Computational Biology
Models, Immunological
description 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.
publishDate 2017
dc.date.none.fl_str_mv 2017
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/108100
http://hdl.handle.net/10316/108100
https://doi.org/10.1155/2017/1734151
url http://hdl.handle.net/10316/108100
https://doi.org/10.1155/2017/1734151
dc.language.iso.fl_str_mv eng
language eng
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2314-6141
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dc.publisher.none.fl_str_mv Hindawi
publisher.none.fl_str_mv Hindawi
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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dc.identifier.doi.none.fl_str_mv 10.1155/2017/1734151