Integration of Boolean models exemplified on hepatocyte signal transduction.
The number of mathematical models for biological pathways is rapidly growing. In particular, Boolean modelling proved to be suited to describe large cellular signalling networks. Systems biology is at the threshold to holistic understanding of comprehensive networks. In order to reach this goal, connection and integration of existing models of parts of cellular networks into more comprehensive network models is necessary. We discuss model combination approaches for Boolean models. Boolean modelling is qualitative rather than quantitative and does not require detailed kinetic information. We show that these models are useful precursors for large-scale quantitative models and that they are comparatively easy to combine. We propose modelling standards for Boolean models as a prerequisite for smooth model integration. Using these standards, we demonstrate the coupling of two logical models on two different examples concerning cellular interactions in the liver. In the first example, we show the integration of two Boolean models of two cell types in order to describe their interaction. In the second example, we demonstrate the combination of two models describing different parts of the network of a single cell type. Combination of partial models into comprehensive network models will take systems biology to the next level of understanding. The combination of logical models facilitated by modelling standards is a valuable example for the next step towards this goal.
Institute for System Dynamics, University of Stuttgart, Stuttgart, Germany.
Rebekka
R
Schlatter
Nicole
N
Philippi
Gaby
G
Wangorsch
Robert
R
Pick
Oliver
O
Sawodny
Christoph
C
Borner
Jens
J
Timmer
Michael
M
Ederer
Thomas
T
Dandekar
D017209:Apoptosis; D022781:Hepatocytes / Q000378:metabolism*; D008099:Liver / Q000378:metabolism; D008962:Models, Theoretical; D015398:Signal Transduction; D049490:Systems Biology