Intervention in Biological Phenomena Modeled by S-Systems: A Model Predictive Control Approach
Conference Paper
Overview
Research
Identity
Additional Document Info
Other
View All
Overview
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.
name of conference
Proceedings of the 2011 American Control Conference