Computational drug discovery for the Zika virus
Braz. J. Pharm. Sci. (Online)
; 54(spe): e01002, 2018. graf
Artigo
em Inglês
| LILACS
| ID: biblio-974426
Biblioteca responsável:
BR1.1
Localização: BR40.1
ABSTRACT
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.
Texto completo:
Disponível
Coleções:
Bases de dados internacionais
Base de dados:
LILACS
Assunto principal:
Desenho Assistido por Computador
/
Descoberta de Drogas
/
Zika virus
Idioma:
Inglês
Revista:
Braz. J. Pharm. Sci. (Online)
Assunto da revista:
Farmacologia
/
Teraputica
/
Toxicologia
Ano de publicação:
2018
Tipo de documento:
Artigo
País de afiliação:
Brasil
/
Estados Unidos
Instituição/País de afiliação:
Collaborations Pharmaceuticals/US
/
Federal University of Goiás/BR
/
Instituto Oswaldo Cruz/BR
/
Rutgers University-New Jersey Medical School/US
/
University of North Carolina/US