Title:
Inference of gene regulation parameters in a mathematically well-posed model of nitrogen source selection in yeast
Speaker:
Natal A.W. van Riel, Control Systems group, Depts. of Biomedical Engineering and Electrical Engineer
Subject:
Quantitative Mathematical Modeling of Gene Regulatory Networks
Area:
Medicine
Type of school:
university
School name:
ohio state university
Country:
United States
Course language:
English
Course media:
Video
Course duration:
Contributor:
pbp
Comments:
Author: Natal A.W. van Riel, Control Systems group, Depts. of Biomedical Engineering and Electrical Engineering Eindhoven University of Technology
Title: Inference of gene regulation parameters in a mathematically well-posed model of nitrogen source selection in yeast
Presentation Materials: PDF
Streaming Video: Real Media
The 'systems biology' concept has gained increasing interest in the last years, especially because large-scale approaches, such as genomics, confront (molecular) biologists with genes and gene products integrated in a functional network. The physical properties of fundamental cellular processes, such as transcription, protein-protein interactions and cell signaling, make the area well-suited for models that combine continuous dynamics and discrete events, so-called hybrid systems.
It will be shown how system identification methods can be used to derive a model that describes the genetic control and substrate fluxes which enable baker's yeast (Saccharomyces cerevisiae) to optimally respond to changes in nitrogen availability. In addition, it will be discussed how a reduced, piecewise-linear model can be derived that is biologically meaningful and can be used for the interpretation of experimental data.
pbp