Speakers
Description
A Chemical Reaction Network (CRN) is a set of possible chemical species, along with a finite set of chemical transformations that the species can undergo. These models are frequently used in biochemistry both for investigating existing systems and for designing new synthetic biological circuits, and also see use in other areas of biology like ecology and epidemiology. There is a rich history of study of stochastic models of CRNs, dating back to the introduction of stochastic mass-action kinetics over 50 years ago. This minisymposium will explore various recent mathematical advances in the study of these stochastic CRN models, with a focus on multiscale systems and stability.
The stability talks in this minisymposium will focus on methods for determining the existence and form of any limiting distribution for the models, whereas research in multiscale networks seeks to understand situations where some of the chemical reactions are much faster than the others. While each of the talks in this minisymposium will be theoretical and mathematical in nature, these topics have been seen to be important for understanding the behavior of real-world reaction networks.