Intervention in biological phenomena modeled by S-systems: A model predictive control approach

N. Meskin*, H. Nounou, M. Nounou, A. Datta, E. R. Dougherty

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationProceedings of the 2011 American Control Conference, ACC 2011
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3519-3523
Number of pages5
ISBN (Print)9781457700804
DOIs
Publication statusPublished - 2011
Externally publishedYes

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Fingerprint

Dive into the research topics of 'Intervention in biological phenomena modeled by S-systems: A model predictive control approach'. Together they form a unique fingerprint.

Cite this