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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2011 American Control Conference, ACC 2011 |
| Pages | 3519-3523 |
| Number of pages | 5 |
| Publication status | Published - 2011 |
| Event | 2011 American Control Conference, ACC 2011 - San Francisco, CA, United States Duration: 29 Jun 2011 → 1 Jul 2011 |
Other
| Other | 2011 American Control Conference, ACC 2011 |
|---|---|
| Country | United States |
| City | San Francisco, CA |
| Period | 29/6/11 → 1/7/11 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
Intervention in biological phenomena modeled by S-systems : A model predictive control approach. / Meskin, N.; Nounou, Hazem; Nounou, Mohamed; Datta, A.; Dougherty, E. R.
Proceedings of the 2011 American Control Conference, ACC 2011. 2011. p. 3519-3523 5990875.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Intervention in biological phenomena modeled by S-systems
T2 - A model predictive control approach
AU - Meskin, N.
AU - Nounou, Hazem
AU - Nounou, Mohamed
AU - Datta, A.
AU - Dougherty, E. R.
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=80053141962&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80053141962&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:80053141962
SN - 9781457700804
SP - 3519
EP - 3523
BT - Proceedings of the 2011 American Control Conference, ACC 2011
ER -