### Modeling Stochasticity and Variability in Gene Regulatory Networks with Applications to the Development of Optimal Intervention Strategies

- Series
- Mathematical Biology Seminar
- Time
- Wednesday, September 25, 2013 - 11:05 for 1 hour (actually 50 minutes)
- Location
- Skiles Bld Room 005
- Speaker
- D. Murrugarra – SoM, GaTech

Modeling stochasticity in gene regulation is an important and complex
problem in molecular systems biology due to probabilistic nature of gene
regulation. This talk will introduce a stochastic modeling framework
for gene regulatory networks which is an extension of the Boolean
modeling approach. This framework incorporates propensity parameters for
activation and degradation and is able to capture the cell-to-cell
variability. It will be presented in the context of finite dynamical
systems, where each gene can take on a finite number of states, and
where time is also a discrete variable. Applications using methods from
control theory for Markov decision processes will be presented for the
purpose of developing optimal intervention strategies. A background to
stochastic modeling will be given and the methods will be applied to the
p53-mdm2 complex.