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
Description
Summary: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.
ISSN:2041-1723

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