A domain-oriented approach to the reduction of combinatorial complexity in signal transduction networks

doi:10.1186/1471-2105-7-34

BMC Bioinformatics

Volume 7

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Conzelmann H
Saez-Rodriguez J
Sauter T
Kholodenko BN
Gilles ED

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Saez-Rodriguez J
Sauter T
Kholodenko BN
Gilles ED
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Research article

A domain-oriented approach to the reduction of combinatorial complexity in signal transduction networks

Holger Conzelmann¹ , Julio Saez-Rodriguez² , Thomas Sauter¹ , Boris N Kholodenko³ and Ernst D Gilles¹^,2

¹Institute for System Dynamics and Control Engineering, University of Stuttgart, Pfaffenwaldring 9, 70569 Stuttgart, Germany

²Max-Planck-lnstitute for Dynamics of Complex Technical Systems, Sandtorstr. 1, 39106 Magdeburg, Germany

³Department of Pathology, Anatomy and Cell Biology, Thomas Jefferson University, 1020 Locust St., Philadelphia, PA 19107, USA

author email corresponding author email

BMC Bioinformatics 2006, 7:34doi:10.1186/1471-2105-7-34


Published:	23 January 2006

Additional files

Additional File 1:

Additional Files can be downloaded from http://www.sysbio.de/projects/modred/BMC webcite. All Files are created with Mathematica Version 5.0. The five files provide all information about the discussed examples. • Generic example with three binding domains (no domain interactions). • Generic example with three binding domains (one controlling domain). • Dynamic simulations of three distinct models. • Generic example with four binding domains. • LAT example (Linker for activation of T-Cells)

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