Boolean Modeling of Signalling and Gene Regulatory Networks

Offered by:LuciLinX with Thomas Sauter
When:8 December 2011
Where:Campus Limpertsberg, 162A, Av de la Faïencerie, L-1511 Luxembourg, Room BC 0.12
Duration:9h00 - 12h00
Restrictions:First-come first-serve
Registration:By email to Thomas Sauter
Contact:thomas DOT sauter AT uni DOT lu


The basic concepts of qualitative Boolean network modelling will be introduced including (automated) model generation, attractors, basins of attractions, etc. Recent examples from literature will illustrate benefits and caveats of this modelling approach. In the second part will we focus on probabilistic Boolean networks which combine the appealing characteristics of rule based Boolean modelling with a probabilistic description in the context of uncertainty. They have so far mainly been applied to gene regulatory networks but are also ideally suited for the description of signalling networks with uncertain crosstalk. An automated Matlab based computational toolbox (optPBN) will be presented which was developed in our group to estimate the respective probabilities (representing the strengths of the crosstalk reactions) based on experimental data. It was successfully tested with a variety of signalling models, including pro- and anti-apoptotic signalling in hepatocytes and altered growth factor signalling in cancers. If there is interest, a follow up workshop will be organized concentrating on the practical aspects of (probabilistic) Boolean modelling based on Matlab programming.