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Multimer-PAGE: A Method for Capturing and Resolving Protein Complexes in Biological Samples

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Published on: May 5, 2017

Control principles for complex biological networks.

Min Li¹, Hao Gao¹, Jianxin Wang¹

¹School of Information Science and Engineering, Central South University, Changsha, Hunan, China.

Briefings in Bioinformatics

|September 22, 2018

Summary

This study explores controlling biological networks using control theory. It details methods for structural controllability, effective control, and optimal control to steer biological system states.

Keywords:

biological networks control principles optimal control structural controllability

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Area of Science:

Systems Biology
Network Science
Control Theory

Background:

Biological systems are often modeled as complex networks.
Understanding and manipulating these networks is crucial for deciphering life processes.
Current methods focus on network construction, but controlling network states is key.

Purpose of the Study:

To introduce structural controllability of complex networks.
To review effective control strategies for biological networks.
To summarize methods for finding minimum driver nodes using optimal control.

Main Methods:

Introduction to structural controllability concepts.
Review of effective control strategies in biological networks.
Summarization of optimal control methods for identifying driver nodes.

Main Results:

Discussion of advantages and disadvantages of structural controllability.
Overview of effective control approaches for specific biological network requirements.
Identification of methods for finding unique minimum driver node sets.

Conclusions:

Control theory offers powerful tools for understanding and manipulating biological networks.
Structural controllability, effective control, and optimal control are essential for steering biological system states.
General control principles have broad potential applications in systems biology.