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Intervention in biological phenomena modeled by S-systems.

Nader Meskin¹, Hazem N Nounou, Mohamed Nounou

¹Department of Electrical Engineering, Qatar University, Doha 2713, Qatar. nader.meskin@qu.edu.qa

IEEE Transactions on Bio-Medical Engineering

|December 22, 2010

Summary

This study introduces direct and indirect intervention strategies for S-system models of biological phenomena. These methods effectively guide biological systems, like the glycolytic-glycogenolytic pathway, to desired states using advanced control algorithms.

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Area of Science:

Systems Biology
Computational Biology
Biochemical Pathway Modeling

Background:

Biological phenomena modeling requires accurate yet flexible frameworks.
S-systems offer a balance of accuracy and mathematical adaptability for dynamical biological modeling.
Developing effective intervention strategies is crucial for controlling biological processes.

Purpose of the Study:

To propose and evaluate novel direct and indirect intervention strategies for S-system models.
To develop control algorithms for implementing these intervention strategies.
To demonstrate the effectiveness of the proposed strategies on a relevant biological pathway.

Main Methods:

Development of indirect intervention strategy using simple sampled-data control and model predictive control (MPC).
Development of a direct intervention strategy employing MPC for target variable control.
Application and simulation of both strategies on the glycolytic-glycogenolytic pathway.

Main Results:

The indirect approach computes reference values for control inputs based on desired target variables.
The direct approach utilizes MPC to directly steer target variables to their desired values.
Simulation results confirm the efficacy of both proposed intervention strategies.

Conclusions:

The proposed direct and indirect intervention strategies are effective for controlling biological systems modeled by S-systems.
Model predictive control is a viable algorithm for implementing these intervention strategies.
The glycolytic-glycogenolytic pathway serves as a successful test case for the developed methods.