Computational drug discovery for the Zika virus

Detalhes bibliográficos
Autor(a) principal: Mottin, Melina
Data de Publicação: 2018
Outros Autores: 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
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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spelling 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
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