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Modeling and simulation of biochemical processes using stochastic hybrid systems: The sugar cataract development process (2008)
| Venue: | IN HYBRID SYSTEMS COMPUTATION AND CONTROL LNCS 4981 |
| Citations: | 4 - 3 self |
BibTeX
@INPROCEEDINGS{Riley08modelingand,
author = {Derek Riley and Xenofon Koutsoukos and Kasandra Riley},
title = { Modeling and simulation of biochemical processes using stochastic hybrid systems: The sugar cataract development process},
booktitle = {IN HYBRID SYSTEMS COMPUTATION AND CONTROL LNCS 4981},
year = {2008},
publisher = {}
}
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Abstract
As biomedical research advances there is an increasing need to model and simulate more complicated systems to better understand them. Since biochemical processes are inherently stochastic and often contain both continuous and discrete behavior, stochastic hybrid systems are an ideal modeling paradigm for capturing their dynamics. In this paper we present a framework for modeling biochemical systems and demonstrate the approach for the sugar cataract development process including two methods of modeling drug treatment. Further, we present a simulation method that uses second-order Taylor approximations for the continuous dynamics and an improved method for detecting boundary hits. We use the sugar cataract development process to demonstrate the results of the method.
Keyphrases
sugar cataract development process biochemical process stochastic hybrid system complicated system continuous dynamic drug treatment biochemical system ideal modeling paradigm improved method biomedical research advance discrete behavior simulation method taylor approximation boundary hit
