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

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.

Bibliographic Details
Main Authors: Yuxuan Hu, Chia-hui Chen, Yang-yang Ding, Xiao Wen, Bingbo Wang, Lin Gao, Kai Tan
Format: Article
Language:English
Published: Nature Publishing Group 2019-05-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-019-10215-y
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spelling doaj-624d36751a5444ffbd9a2a54c5ce94db2021-05-11T11:45:37ZengNature Publishing GroupNature Communications2041-17232019-05-0110111410.1038/s41467-019-10215-yOptimal control nodes in disease-perturbed networks as targets for combination therapyYuxuan Hu0Chia-hui Chen1Yang-yang Ding2Xiao Wen3Bingbo Wang4Lin Gao5Kai Tan6School of Computer Science and Technology, Xidian UniversityDivision of Oncology and Center for Childhood Cancer Research, 4004 CTRB, Children’s Hospital of PhiladelphiaDivision of Oncology and Center for Childhood Cancer Research, 4004 CTRB, Children’s Hospital of PhiladelphiaSchool of Computer Science and Technology, Xidian UniversitySchool of Computer Science and Technology, Xidian UniversitySchool of Computer Science and Technology, Xidian UniversityDivision of Oncology and Center for Childhood Cancer Research, 4004 CTRB, Children’s Hospital of PhiladelphiaSynergistic 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.https://doi.org/10.1038/s41467-019-10215-y
collection DOAJ
language English
format Article
sources DOAJ
author Yuxuan Hu
Chia-hui Chen
Yang-yang Ding
Xiao Wen
Bingbo Wang
Lin Gao
Kai Tan
spellingShingle 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
Nature Communications
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 Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2019-05-01
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.
url https://doi.org/10.1038/s41467-019-10215-y
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AT yangyangding optimalcontrolnodesindiseaseperturbednetworksastargetsforcombinationtherapy
AT xiaowen optimalcontrolnodesindiseaseperturbednetworksastargetsforcombinationtherapy
AT bingbowang optimalcontrolnodesindiseaseperturbednetworksastargetsforcombinationtherapy
AT lingao optimalcontrolnodesindiseaseperturbednetworksastargetsforcombinationtherapy
AT kaitan optimalcontrolnodesindiseaseperturbednetworksastargetsforcombinationtherapy
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