Optimal control nodes in disease-perturbed networks as targets for combination therapy

Synergistic interactions may arise between regulators in complex molecular networks. Here, the authors develop OptiCon, a computational method for de novo identification of synergistic key regulators and investigate their potential roles as candidate targets for combination therapy.

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Autores principales:	Yuxuan Hu, Chia-hui Chen, Yang-yang Ding, Xiao Wen, Bingbo Wang, Lin Gao, Kai Tan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/624d36751a5444ffbd9a2a54c5ce94db
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spelling	oai:doaj.org-article:624d36751a5444ffbd9a2a54c5ce94db2021-12-02T16:57:08ZOptimal control nodes in disease-perturbed networks as targets for combination therapy10.1038/s41467-019-10215-y2041-1723https://doaj.org/article/624d36751a5444ffbd9a2a54c5ce94db2019-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-10215-yhttps://doaj.org/toc/2041-1723Synergistic interactions may arise between regulators in complex molecular networks. Here, the authors develop OptiCon, a computational method for de novo identification of synergistic key regulators and investigate their potential roles as candidate targets for combination therapy.Yuxuan HuChia-hui ChenYang-yang DingXiao WenBingbo WangLin GaoKai TanNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-14 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Yuxuan Hu Chia-hui Chen Yang-yang Ding Xiao Wen Bingbo Wang Lin Gao Kai Tan Optimal control nodes in disease-perturbed networks as targets for combination therapy
description	Synergistic interactions may arise between regulators in complex molecular networks. Here, the authors develop OptiCon, a computational method for de novo identification of synergistic key regulators and investigate their potential roles as candidate targets for combination therapy.
format	article
author	Yuxuan Hu Chia-hui Chen Yang-yang Ding Xiao Wen Bingbo Wang Lin Gao Kai Tan
author_facet	Yuxuan Hu Chia-hui Chen Yang-yang Ding Xiao Wen Bingbo Wang Lin Gao Kai Tan
author_sort	Yuxuan Hu
title	Optimal control nodes in disease-perturbed networks as targets for combination therapy
title_short	Optimal control nodes in disease-perturbed networks as targets for combination therapy
title_full	Optimal control nodes in disease-perturbed networks as targets for combination therapy
title_fullStr	Optimal control nodes in disease-perturbed networks as targets for combination therapy
title_full_unstemmed	Optimal control nodes in disease-perturbed networks as targets for combination therapy
title_sort	optimal control nodes in disease-perturbed networks as targets for combination therapy
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/624d36751a5444ffbd9a2a54c5ce94db
work_keys_str_mv	AT yuxuanhu optimalcontrolnodesindiseaseperturbednetworksastargetsforcombinationtherapy AT chiahuichen optimalcontrolnodesindiseaseperturbednetworksastargetsforcombinationtherapy AT yangyangding optimalcontrolnodesindiseaseperturbednetworksastargetsforcombinationtherapy AT xiaowen optimalcontrolnodesindiseaseperturbednetworksastargetsforcombinationtherapy AT bingbowang optimalcontrolnodesindiseaseperturbednetworksastargetsforcombinationtherapy AT lingao optimalcontrolnodesindiseaseperturbednetworksastargetsforcombinationtherapy AT kaitan optimalcontrolnodesindiseaseperturbednetworksastargetsforcombinationtherapy
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Optimal control nodes in disease-perturbed networks as targets for combination therapy

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