Computational drug discovery for the Zika virus
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Pharmaceutical Sciences |
Texto Completo: | https://www.revistas.usp.br/bjps/article/view/153899 |
Resumo: | Few Zika virus (ZIKV) outbreaks had been reported since its first detection in 1947, until the recent epidemics occurred in South America (2014/2015) and expeditiously became a global public health emergency. This arbovirus reached 0.5-1.3 million cases of ZIKV infection in Brazil in 2015 and rapidly spread in new geographic areas such as the Americas. Despite the mild symptoms of the Zika fever, the major concern is related to the related severe neurological disorders, especially microcephaly in newborns. Advances in ZIKV drug discovery have been made recently and constitute promising approaches to ZIKV treatment. In this review, we summarize current computational drug discovery efforts and their applicability to discovery of anti-ZIKV drugs. Lastly, we present successful examples of the use of computational approaches to ZIKV drug discovery. |
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Brazilian Journal of Pharmaceutical Sciences |
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Computational drug discovery for the Zika virusZikaFlavivirusAntiviralComputer-assisted drug designVirtual screeningDrug discoveryFew Zika virus (ZIKV) outbreaks had been reported since its first detection in 1947, until the recent epidemics occurred in South America (2014/2015) and expeditiously became a global public health emergency. This arbovirus reached 0.5-1.3 million cases of ZIKV infection in Brazil in 2015 and rapidly spread in new geographic areas such as the Americas. Despite the mild symptoms of the Zika fever, the major concern is related to the related severe neurological disorders, especially microcephaly in newborns. Advances in ZIKV drug discovery have been made recently and constitute promising approaches to ZIKV treatment. In this review, we summarize current computational drug discovery efforts and their applicability to discovery of anti-ZIKV drugs. Lastly, we present successful examples of the use of computational approaches to ZIKV drug discovery.Universidade de São Paulo. Faculdade de Ciências Farmacêuticas2018-12-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/bjps/article/view/15389910.1590/s2175-97902018000001002Brazilian Journal of Pharmaceutical Sciences; Vol. 54 Núm. Especial (2018); e01002Brazilian Journal of Pharmaceutical Sciences; v. 54 n. Especial (2018); e01002Brazilian Journal of Pharmaceutical Sciences; Vol. 54 No. Especial (2018); e010022175-97901984-8250reponame:Brazilian Journal of Pharmaceutical Sciencesinstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/bjps/article/view/153899/150231Copyright (c) 2018 Brazilian Journal of Pharmaceutical Sciences (Impresso)info:eu-repo/semantics/openAccessMottin, MelinaBorba, Joyce Villa Verde BastosMelo-Filho, Cleber CamiloNeves, Bruno JuniorMuratov, EugeneTorres, Pedro Henrique MonteiroBraga, Rodolpho CamposPerryman, AlexanderEkins, SeanAndrade, Carolina Horta2019-03-17T12:35:26Zoai:revistas.usp.br:article/153899Revistahttps://www.revistas.usp.br/bjps/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpbjps@usp.br||elizabeth.igne@gmail.com2175-97901984-8250opendoar:2019-03-17T12:35:26Brazilian Journal of Pharmaceutical Sciences - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Computational drug discovery for the Zika virus |
title |
Computational drug discovery for the Zika virus |
spellingShingle |
Computational drug discovery for the Zika virus Mottin, Melina Zika Flavivirus Antiviral Computer-assisted drug design Virtual screening Drug discovery |
title_short |
Computational drug discovery for the Zika virus |
title_full |
Computational drug discovery for the Zika virus |
title_fullStr |
Computational drug discovery for the Zika virus |
title_full_unstemmed |
Computational drug discovery for the Zika virus |
title_sort |
Computational drug discovery for the Zika virus |
author |
Mottin, Melina |
author_facet |
Mottin, Melina Borba, Joyce Villa Verde Bastos Melo-Filho, Cleber Camilo Neves, Bruno Junior Muratov, Eugene Torres, Pedro Henrique Monteiro Braga, Rodolpho Campos Perryman, Alexander Ekins, Sean Andrade, Carolina Horta |
author_role |
author |
author2 |
Borba, Joyce Villa Verde Bastos Melo-Filho, Cleber Camilo Neves, Bruno Junior Muratov, Eugene Torres, Pedro Henrique Monteiro Braga, Rodolpho Campos Perryman, Alexander Ekins, Sean Andrade, Carolina Horta |
author2_role |
author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Mottin, Melina Borba, Joyce Villa Verde Bastos Melo-Filho, Cleber Camilo Neves, Bruno Junior Muratov, Eugene Torres, Pedro Henrique Monteiro Braga, Rodolpho Campos Perryman, Alexander Ekins, Sean Andrade, Carolina Horta |
dc.subject.por.fl_str_mv |
Zika Flavivirus Antiviral Computer-assisted drug design Virtual screening Drug discovery |
topic |
Zika Flavivirus Antiviral Computer-assisted drug design Virtual screening Drug discovery |
description |
Few Zika virus (ZIKV) outbreaks had been reported since its first detection in 1947, until the recent epidemics occurred in South America (2014/2015) and expeditiously became a global public health emergency. This arbovirus reached 0.5-1.3 million cases of ZIKV infection in Brazil in 2015 and rapidly spread in new geographic areas such as the Americas. Despite the mild symptoms of the Zika fever, the major concern is related to the related severe neurological disorders, especially microcephaly in newborns. Advances in ZIKV drug discovery have been made recently and constitute promising approaches to ZIKV treatment. In this review, we summarize current computational drug discovery efforts and their applicability to discovery of anti-ZIKV drugs. Lastly, we present successful examples of the use of computational approaches to ZIKV drug discovery. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-28 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/bjps/article/view/153899 10.1590/s2175-97902018000001002 |
url |
https://www.revistas.usp.br/bjps/article/view/153899 |
identifier_str_mv |
10.1590/s2175-97902018000001002 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/bjps/article/view/153899/150231 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 Brazilian Journal of Pharmaceutical Sciences (Impresso) info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 Brazilian Journal of Pharmaceutical Sciences (Impresso) |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Ciências Farmacêuticas |
publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Ciências Farmacêuticas |
dc.source.none.fl_str_mv |
Brazilian Journal of Pharmaceutical Sciences; Vol. 54 Núm. Especial (2018); e01002 Brazilian Journal of Pharmaceutical Sciences; v. 54 n. Especial (2018); e01002 Brazilian Journal of Pharmaceutical Sciences; Vol. 54 No. Especial (2018); e01002 2175-9790 1984-8250 reponame:Brazilian Journal of Pharmaceutical Sciences instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Brazilian Journal of Pharmaceutical Sciences |
collection |
Brazilian Journal of Pharmaceutical Sciences |
repository.name.fl_str_mv |
Brazilian Journal of Pharmaceutical Sciences - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
bjps@usp.br||elizabeth.igne@gmail.com |
_version_ |
1800222913831370752 |