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Research Models and Tools for the Identification of Antivirals and Therapeutics against Zika Virus Infection.
Alves, Marco P; Vielle, Nathalie J; Thiel, Volker; Pfaender, Stephanie.
Afiliación
  • Alves MP; Institute of Virology and Immunology, 3012 Bern, Switzerland. marco.alves@vetsuisse.unibe.ch.
  • Vielle NJ; Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, 3012 Bern, Switzerland. marco.alves@vetsuisse.unibe.ch.
  • Thiel V; Institute of Virology and Immunology, 3012 Bern, Switzerland. nathalie.vielle@vetsuisse.unibe.ch.
  • Pfaender S; Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, 3012 Bern, Switzerland. nathalie.vielle@vetsuisse.unibe.ch.
Viruses ; 10(11)2018 10 30.
Article en En | MEDLINE | ID: mdl-30380760
ABSTRACT
Zika virus recently re-emerged and caused global outbreaks mainly in Central Africa, Southeast Asia, the Pacific Islands and in Central and South America. Even though there is a declining trend, the virus continues to spread throughout different geographical regions of the world. Since its re-emergence in 2015, massive advances have been made regarding our understanding of clinical manifestations, epidemiology, genetic diversity, genomic structure and potential therapeutic intervention strategies. Nevertheless, treatment remains a challenge as there is no licensed effective therapy available. This review focuses on the recent advances regarding research models, as well as available experimental tools that can be used for the identification and characterization of potential antiviral targets and therapeutic intervention strategies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Antivirales / Investigación / Virus Zika / Infección por el Virus Zika / Modelos Biológicos Tipo de estudio: Diagnostic_studies Límite: Animals / Humans Idioma: En Revista: Viruses Año: 2018 Tipo del documento: Article País de afiliación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Antivirales / Investigación / Virus Zika / Infección por el Virus Zika / Modelos Biológicos Tipo de estudio: Diagnostic_studies Límite: Animals / Humans Idioma: En Revista: Viruses Año: 2018 Tipo del documento: Article País de afiliación: Suiza
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