New Targets for Zika Virus Determined by Human-Viral Interactomic: A Bioinformatics Approach
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
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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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 |
dc.relation.none.fl_str_mv |
2314-6133 2314-6141 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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 instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
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 |
|
_version_ |
1822183459193356288 |
dc.identifier.doi.none.fl_str_mv |
10.1155/2017/1734151 |