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Application of multiple omics and network projection analyses to drug repositioning for pathogenic mosquito-borne viruses
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 tropica...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8115341/ https://www.ncbi.nlm.nih.gov/pubmed/33980888 http://dx.doi.org/10.1038/s41598-021-89171-x |
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author | Amemiya, Takayuki Horimoto, Katsuhisa Fukui, Kazuhiko |
author_facet | Amemiya, Takayuki Horimoto, Katsuhisa Fukui, Kazuhiko |
author_sort | Amemiya, Takayuki |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-8115341 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81153412021-05-14 Application of multiple omics and network projection analyses to drug repositioning for pathogenic mosquito-borne viruses Amemiya, Takayuki Horimoto, Katsuhisa Fukui, Kazuhiko Sci Rep Article 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. Nature Publishing Group UK 2021-05-12 /pmc/articles/PMC8115341/ /pubmed/33980888 http://dx.doi.org/10.1038/s41598-021-89171-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Amemiya, Takayuki Horimoto, Katsuhisa Fukui, Kazuhiko Application of multiple omics and network projection analyses to drug repositioning for pathogenic mosquito-borne viruses |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8115341/ https://www.ncbi.nlm.nih.gov/pubmed/33980888 http://dx.doi.org/10.1038/s41598-021-89171-x |
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