Name
Title | ||
|---|---|---|
Intervention in biological phenomena modeled by S-systems: A model predictive control approach |
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ACC.2011.5990875 | American Control Conference |
Keywords | DocType | ISSN |
biocontrol,biology,predictive control,s-system model,biochemical pathways,biological phenomena,genetic regulatory networks,glycolytic-glycogenolytic pathway,model predictive control algorithm,therapeutic intervention strategies,system modeling,genetics,mathematical model,model predictive control,optimization,steady state | Conference | 0743-1619 |
ISBN | Citations | PageRank |
978-1-4577-0080-4 | 0 | 0.34 |
References | Authors | |
13 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nader Meskin | 1 | 97 | 9.31 |
| hazem n nounou | 2 | 0 | 0.34 |
| mohamed nounou | 3 | 0 | 0.34 |
| ajoy k datta | 4 | 0 | 0.34 |
| Edward R. Dougherty | 5 | 3853 | 422.70 |