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An Extendable System for Conceptual Modeling and Simulation of Signal Transduction Pathways

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4802))

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.

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Jean-Luc Hainaut Elke A. Rundensteiner Markus Kirchberg Michela Bertolotto Mathias Brochhausen Yi-Ping Phoebe Chen Samira Si-Saïd Cherfi Martin Doerr Hyoil Han Sven Hartmann Jeffrey Parsons Geert Poels Colette Rolland Juan Trujillo Eric Yu Esteban Zimányie

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© 2007 Springer-Verlag Berlin Heidelberg

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Eckstein, S., Täubner, C. (2007). An Extendable System for Conceptual Modeling and Simulation of Signal Transduction Pathways. In: Hainaut, JL., et al. Advances in Conceptual Modeling – Foundations and Applications. ER 2007. Lecture Notes in Computer Science, vol 4802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76292-8_7

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  • DOI: https://doi.org/10.1007/978-3-540-76292-8_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76291-1

  • Online ISBN: 978-3-540-76292-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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