Background#R##N#Signaling systems typically involve large, structured molecules each consisting of a large number of subunits called molecule domains. In modeling such systems these domains can be considered as the main players. In order to handle the resulting combinatorial complexity, rule-based modeling has been established as the tool of choice. In contrast to the detailed quantitative rule-based modeling, qualitative modeling approaches like logical modeling rely solely on the network structure and are particularly useful for analyzing structural and functional properties of signaling systems.
['Katrin Kolczyk', 'Regina Samaga', 'Holger Conzelmann', 'S. Mirschel', 'Carsten Conradi']
The Process-Interaction-Model: a common representation of rule-based and logical models allows studying signal transduction on different levels of detail