An extendable system for conceptual modeling and simulation of signal transduction pathways

Authors:
Silke Eckstein;Claudia Täubner
Affiliations:
Technical University of Braunschweig, Institute of Information Systems, Germany;Technical University of Braunschweig, Institute of Information Systems, Germany
Venue:
ER'07 Proceedings of the 2007 conference on Advances in conceptual modeling: foundations and applications
Year:
2007

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Abstract

In this paper we present an extendable system to generate models of signal transduction pathways in different modeling languages and to simulate these models with the belonging simulation tools. Systems biology is an emerging research area in Life Sciences with the aim "to develop a system level understanding of biological systems"(Kitano). One step in this direction - besides a lot of other necessary steps - is to model and simulate signal transduction pathways, which describe the flow of signals inside the cell. This can very well be done by using discrete modeling languages such as Petri Nets or Life Sequence Charts. Another step forward is to generate such models out of databases for signal transduction pathways.