A genome-wide positioning systems network algorithm for in silico drug repurposing

A genome-wide positioning systems network algorithm for in silico drug repurposing

Identification of disease modules in the human interactome can guide more efficacious therapeutic selections. Here, the authors introduce a network-based methodology to identify individualized disease modules by mapping patients’ DNA and RNA sequencing profiles to the interactome, enabling predictio...

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Autores principales: Feixiong Cheng, Weiqiang Lu, Chuang Liu, Jiansong Fang, Yuan Hou, Diane E. Handy, Ruisheng Wang, Yuzheng Zhao, Yi Yang, Jin Huang, David E. Hill, Marc Vidal, Charis Eng, Joseph Loscalzo
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
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Science
Q
Acceso en línea:https://doaj.org/article/2278ae537ce04f0091ede24882da7dbe
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spelling oai:doaj.org-article:2278ae537ce04f0091ede24882da7dbe2021-12-02T14:38:59ZA genome-wide positioning systems network algorithm for in silico drug repurposing10.1038/s41467-019-10744-62041-1723https://doaj.org/article/2278ae537ce04f0091ede24882da7dbe2019-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-10744-6https://doaj.org/toc/2041-1723Identification of disease modules in the human interactome can guide more efficacious therapeutic selections. Here, the authors introduce a network-based methodology to identify individualized disease modules by mapping patients’ DNA and RNA sequencing profiles to the interactome, enabling prediction of cancer type-specific drug responses.Feixiong ChengWeiqiang LuChuang LiuJiansong FangYuan HouDiane E. HandyRuisheng WangYuzheng ZhaoYi YangJin HuangDavid E. HillMarc VidalCharis EngJoseph LoscalzoNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-14 (2019)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Feixiong Cheng
Weiqiang Lu
Chuang Liu
Jiansong Fang
Yuan Hou
Diane E. Handy
Ruisheng Wang
Yuzheng Zhao
Yi Yang
Jin Huang
David E. Hill
Marc Vidal
Charis Eng
Joseph Loscalzo
A genome-wide positioning systems network algorithm for in silico drug repurposing
description Identification of disease modules in the human interactome can guide more efficacious therapeutic selections. Here, the authors introduce a network-based methodology to identify individualized disease modules by mapping patients’ DNA and RNA sequencing profiles to the interactome, enabling prediction of cancer type-specific drug responses.
format article
author Feixiong Cheng
Weiqiang Lu
Chuang Liu
Jiansong Fang
Yuan Hou
Diane E. Handy
Ruisheng Wang
Yuzheng Zhao
Yi Yang
Jin Huang
David E. Hill
Marc Vidal
Charis Eng
Joseph Loscalzo
author_facet Feixiong Cheng
Weiqiang Lu
Chuang Liu
Jiansong Fang
Yuan Hou
Diane E. Handy
Ruisheng Wang
Yuzheng Zhao
Yi Yang
Jin Huang
David E. Hill
Marc Vidal
Charis Eng
Joseph Loscalzo
author_sort Feixiong Cheng
title A genome-wide positioning systems network algorithm for in silico drug repurposing
title_short A genome-wide positioning systems network algorithm for in silico drug repurposing
title_full A genome-wide positioning systems network algorithm for in silico drug repurposing
title_fullStr A genome-wide positioning systems network algorithm for in silico drug repurposing
title_full_unstemmed A genome-wide positioning systems network algorithm for in silico drug repurposing
title_sort genome-wide positioning systems network algorithm for in silico drug repurposing
publisher Nature Portfolio
publishDate 2019
url https://doaj.org/article/2278ae537ce04f0091ede24882da7dbe
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