Intervention in biological phenomena modeled by S-systems: A model predictive control approach
Author | Meskin, Nader |
Author | Nounou, H. |
Author | Nounou, M. |
Author | Datta, A. |
Author | Dougherty, E.R. |
Available date | 2022-04-14T08:45:47Z |
Publication Date | 2011 |
Publication Name | Proceedings of the American Control Conference |
Resource | Scopus |
Identifier | http://dx.doi.org/10.1109/acc.2011.5990875 |
Abstract | Recent years have witnessed extensive research activity in modeling genetic regulatory networks (GRNs) as well as in developing therapeutic intervention strategies for such networks. S-systems, which offer a good compromise between accuracy and mathematical flexibility, are a promising framework for modeling the dynamical behavior of GRNs, as well as that of biochemical pathways. In this paper, an intervention strategy is proposed for the S-system model. In this approach, a model predictive control algorithm is developed which guides the target variables to their desired values. The proposed intervention strategy is applied to the glycolytic-glycogenolytic pathway as well as a generic branched pathway and the simulation results presented demonstrate the effectiveness of the proposed scheme. 2011 AACC American Automatic Control Council. |
Language | en |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Subject | Predictive control systems Biochemical pathway Biological phenomena Dynamical behaviors Genetic regulatory networks Intervention strategy Model-predictive control approach Research activities Therapeutic intervention Model predictive control |
Type | Conference Paper |
Pagination | 3519-3523 |
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Electrical Engineering [2611 items ]