PSU Mark
Eberly College of Science Mathematics Department

Meeting Details

For more information about this meeting, contact Andrew Belmonte, Tim Reluga, Stephanie Zerby, Chun Liu.

Title:Stochastic modeling of biochemical networks
Seminar:Mathematical Biology and Physiology Seminar
Speaker:Hye-Won Kang, Department of Mathematics and Statistics, University of Maryland Baltimore County
Abstract:
This talk will introduce stochastic modeling and simulation of biochemical processes. Stochasticity may play an important role in case the copy number of some component involved in the biochemical processes is small. A stochastic model for biochemical processes using continuous-time Markov jump processes is considered. In this talk, I will show several examples in biology and their stochastic models. The first part of the talk is about stochastic models in the spatially-homogeneous biological systems. In this part, multiscale approximations of chemical reaction networks will be suggested which help to reduce the network complexity using various scales in species numbers and reaction rates. The second part of the talk is about stochastic models in the spatially-distributed biological systems. Two examples in biology and the models will be introduced: the glycolytic pathway in the distributed system and pattern formation in developmental biology. These examples will show how stochasticity will change the biological systems in different ways.

Room Reservation Information

Room Number:MB114
Date:04 / 04 / 2014
Time:12:00pm - 01:00pm