Computational drug discovery for the Zika virus
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 rapidl...
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doaj-3735805d6eab40919cf58a7d4fb4c0ee2020-11-25T00:49:51ZengUniversidade de São PauloBrazilian Journal of Pharmaceutical Sciences2175-97902018-11-0154spe10.1590/s2175-97902018000001002S1984-82502018000700401Computational drug discovery for the Zika virusMelina MottinJoyce Villa Verde Bastos BorbaCleber Camilo Melo-FilhoBruno Junior NevesEugene MuratovPedro Henrique Monteiro TorresRodolpho Campos BragaAlexander PerrymanSean EkinsCarolina Horta AndradeFew 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1984-82502018000700401&lng=en&tlng=enZikaFlavivirus AntiviralComputer-assisted drug designVirtual screeningDrug discovery |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Melina Mottin Joyce Villa Verde Bastos Borba Cleber Camilo Melo-Filho Bruno Junior Neves Eugene Muratov Pedro Henrique Monteiro Torres Rodolpho Campos Braga Alexander Perryman Sean Ekins Carolina Horta Andrade |
spellingShingle |
Melina Mottin Joyce Villa Verde Bastos Borba Cleber Camilo Melo-Filho Bruno Junior Neves Eugene Muratov Pedro Henrique Monteiro Torres Rodolpho Campos Braga Alexander Perryman Sean Ekins Carolina Horta Andrade Computational drug discovery for the Zika virus Brazilian Journal of Pharmaceutical Sciences Zika Flavivirus Antiviral Computer-assisted drug design Virtual screening Drug discovery |
author_facet |
Melina Mottin Joyce Villa Verde Bastos Borba Cleber Camilo Melo-Filho Bruno Junior Neves Eugene Muratov Pedro Henrique Monteiro Torres Rodolpho Campos Braga Alexander Perryman Sean Ekins Carolina Horta Andrade |
author_sort |
Melina Mottin |
title |
Computational drug discovery for the Zika virus |
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 |
publisher |
Universidade de São Paulo |
series |
Brazilian Journal of Pharmaceutical Sciences |
issn |
2175-9790 |
publishDate |
2018-11-01 |
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. |
topic |
Zika Flavivirus Antiviral Computer-assisted drug design Virtual screening Drug discovery |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1984-82502018000700401&lng=en&tlng=en |
work_keys_str_mv |
AT melinamottin computationaldrugdiscoveryforthezikavirus AT joycevillaverdebastosborba computationaldrugdiscoveryforthezikavirus AT clebercamilomelofilho computationaldrugdiscoveryforthezikavirus AT brunojuniorneves computationaldrugdiscoveryforthezikavirus AT eugenemuratov computationaldrugdiscoveryforthezikavirus AT pedrohenriquemonteirotorres computationaldrugdiscoveryforthezikavirus AT rodolphocamposbraga computationaldrugdiscoveryforthezikavirus AT alexanderperryman computationaldrugdiscoveryforthezikavirus AT seanekins computationaldrugdiscoveryforthezikavirus AT carolinahortaandrade computationaldrugdiscoveryforthezikavirus |
_version_ |
1725250802655690752 |