Application of multiple omics and network projection analyses to drug repositioning for pathogenic mosquito-borne viruses

Abstract Pathogenic mosquito-borne viruses are a serious public health issue in tropical and subtropical regions and are increasingly becoming a problem in other climate zones. Drug repositioning is a rapid, pharmaco-economic approach that can be used to identify compounds that target these neglecte...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Takayuki Amemiya, Katsuhisa Horimoto, Kazuhiko Fukui
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1437ad3d0543430dba447a71cf77a340
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:1437ad3d0543430dba447a71cf77a340
record_format	dspace
spelling	oai:doaj.org-article:1437ad3d0543430dba447a71cf77a3402021-12-02T15:43:24ZApplication of multiple omics and network projection analyses to drug repositioning for pathogenic mosquito-borne viruses10.1038/s41598-021-89171-x2045-2322https://doaj.org/article/1437ad3d0543430dba447a71cf77a3402021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89171-xhttps://doaj.org/toc/2045-2322Abstract Pathogenic mosquito-borne viruses are a serious public health issue in tropical and subtropical regions and are increasingly becoming a problem in other climate zones. Drug repositioning is a rapid, pharmaco-economic approach that can be used to identify compounds that target these neglected tropical diseases. We have applied a computational drug repositioning method to five mosquito-borne viral infections: dengue virus (DENV), zika virus (ZIKV), West Nile virus (WNV), Japanese encephalitis virus (JEV) and Chikungunya virus (CHIV). We identified signature molecules and pathways for each virus infection based on omics analyses, and determined 77 drug candidates and 146 proteins for those diseases by using a filtering method. Based on the omics analyses, we analyzed the relationship among drugs, target proteins and the five viruses by projecting the signature molecules onto a human protein–protein interaction network. We have classified the drug candidates according to the degree of target proteins in the protein–protein interaction network for the five infectious diseases.Takayuki AmemiyaKatsuhisa HorimotoKazuhiko FukuiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Takayuki Amemiya Katsuhisa Horimoto Kazuhiko Fukui Application of multiple omics and network projection analyses to drug repositioning for pathogenic mosquito-borne viruses
description	Abstract Pathogenic mosquito-borne viruses are a serious public health issue in tropical and subtropical regions and are increasingly becoming a problem in other climate zones. Drug repositioning is a rapid, pharmaco-economic approach that can be used to identify compounds that target these neglected tropical diseases. We have applied a computational drug repositioning method to five mosquito-borne viral infections: dengue virus (DENV), zika virus (ZIKV), West Nile virus (WNV), Japanese encephalitis virus (JEV) and Chikungunya virus (CHIV). We identified signature molecules and pathways for each virus infection based on omics analyses, and determined 77 drug candidates and 146 proteins for those diseases by using a filtering method. Based on the omics analyses, we analyzed the relationship among drugs, target proteins and the five viruses by projecting the signature molecules onto a human protein–protein interaction network. We have classified the drug candidates according to the degree of target proteins in the protein–protein interaction network for the five infectious diseases.
format	article
author	Takayuki Amemiya Katsuhisa Horimoto Kazuhiko Fukui
author_facet	Takayuki Amemiya Katsuhisa Horimoto Kazuhiko Fukui
author_sort	Takayuki Amemiya
title	Application of multiple omics and network projection analyses to drug repositioning for pathogenic mosquito-borne viruses
title_short	Application of multiple omics and network projection analyses to drug repositioning for pathogenic mosquito-borne viruses
title_full	Application of multiple omics and network projection analyses to drug repositioning for pathogenic mosquito-borne viruses
title_fullStr	Application of multiple omics and network projection analyses to drug repositioning for pathogenic mosquito-borne viruses
title_full_unstemmed	Application of multiple omics and network projection analyses to drug repositioning for pathogenic mosquito-borne viruses
title_sort	application of multiple omics and network projection analyses to drug repositioning for pathogenic mosquito-borne viruses
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/1437ad3d0543430dba447a71cf77a340
work_keys_str_mv	AT takayukiamemiya applicationofmultipleomicsandnetworkprojectionanalysestodrugrepositioningforpathogenicmosquitoborneviruses AT katsuhisahorimoto applicationofmultipleomicsandnetworkprojectionanalysestodrugrepositioningforpathogenicmosquitoborneviruses AT kazuhikofukui applicationofmultipleomicsandnetworkprojectionanalysestodrugrepositioningforpathogenicmosquitoborneviruses
_version_	1718385793735589888

Application of multiple omics and network projection analyses to drug repositioning for pathogenic mosquito-borne viruses

Ejemplares similares