Abstract
Reaction systems are a formal framework for modeling processes driven by bio-
chemical reactions. They are based on the mechanisms of facilitation and inhi-
bition. A main assumption is that if a resource is available, then it is present in
sufficient amounts and as such, several reactions using the same resource will not
compete concurrently against each other; this makes reaction systems very differ-
ent as a modeling framework than traditional frameworks such as ODEs or con-
tinuous time Markov chains. We construct in this paper a reaction systems model
for the heat shock response in such a way that its (qualitative) behavior correlates
well with the quantitative behavior of the corresponding ODE model. We discuss
two different approaches for building the model. We conclude with a discussion
on the expressivity of reaction systems as compared to that of ODE-based models.
chemical reactions. They are based on the mechanisms of facilitation and inhi-
bition. A main assumption is that if a resource is available, then it is present in
sufficient amounts and as such, several reactions using the same resource will not
compete concurrently against each other; this makes reaction systems very differ-
ent as a modeling framework than traditional frameworks such as ODEs or con-
tinuous time Markov chains. We construct in this paper a reaction systems model
for the heat shock response in such a way that its (qualitative) behavior correlates
well with the quantitative behavior of the corresponding ODE model. We discuss
two different approaches for building the model. We conclude with a discussion
on the expressivity of reaction systems as compared to that of ODE-based models.
| Original language | English |
|---|---|
| Publisher | TUCS |
| Number of pages | 16 |
| ISBN (Electronic) | 978-952-12-2879-7 |
| Publication status | Published - 2013 |
| MoE publication type | D4 Published development or research report or study |
Publication series
| Name | TUCS Technical Reports |
|---|---|
| Volume | 1075 |
| ISSN (Print) | 1239-1891 |
Keywords
- Computer sciences