Mathematical and computational studies of small gene regulatory network behavior

We are interested in using mathematical modeling and simulation to gain insight into the behavior of small gene regulatory network behavior, in particular those that may be involved in developmental processes such as cell fate determination. Previous work in our lab has focused on using chemical reaction network theory to identify model networks that have the capacity for bistability. Results have been used to discover possible switch-like circuits in yeast, and have highlighted the potential usefulness of parameter-free modeling for the characterization of complex networks, the study of network evolution, and the development of novel synthetic biological switches.

Siegal-Gaskins et al.(2011). Emergence of switch-like behavior in a large family of simple biochemical networks. PLoS Comput Biol 7(5): e1002039 pp.
Siegal-Gaskins et al.(2009). The capacity for multistability in small gene regulatory networks. BMC Syst Biol 3: 96 pp.

Image depicting gene network behavior
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