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Updated: Aug 4, 2025

Design and Use of Multiplexed Chemostat Arrays
Published on: February 23, 2013
Structural characteristics in network control of molecular multiplex networks
Cheng Yuan1, Zu-Yu Qian1, Jie Zhou1
1School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang, Jiangxi, People's Republic of China.
Controlling complex molecular multiplex networks, like those involving transcriptional regulatory (TRN) and protein-protein interaction (PPI) networks, requires understanding gene roles. Targeting essential genes reduces control energy costs in these biological networks.
Area of Science:
- Systems Biology
- Network Science
- Computational Biology
Background:
- Multilayer networks model complex real-world systems effectively.
- Controlling synthetic multiplex networks is advancing, but real-world multilayer system control remains challenging.
- Molecular systems often involve coupled transcriptional regulatory networks (TRN) and protein-protein interaction (PPI) networks.
Purpose of the Study:
- To investigate the controllability and energy requirements of molecular multiplex networks.
- To analyze the influence of network structural characteristics on control strategies.
- To understand the role of essential and pathogen-related genes in network control.
Main Methods:
- Analysis of network structural characteristics.
- Identification of driver nodes for network control.
- Evaluation of energy costs associated with different control strategies.
- Examination of coupling patterns between TRN and PPI networks.
Main Results:
- Driver nodes in molecular multiplex networks tend to avoid essential or pathogen-related genes.
- Targeting essential or pathogen-related genes significantly reduces the energy cost for network control.
- The number of minimal driver nodes and the required energy correlate with disassortative coupling between TRN and PPI networks.
- Findings were consistent across multiple species.
Conclusions:
- Essential and pathogen-related genes play a critical role in reducing the energy demands for controlling molecular multiplex networks.
- Network coupling characteristics, specifically disassortativity, influence the controllability and energy efficiency of these systems.
- This study offers insights into gene function in both biological processes and network control across species.
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