References of "Gilles, E. D"
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See detailExact Model Reduction of Combinatorial Reaction Networks
Conzelmann, Holger; Fey, Dirk ULg; Gilles, E. D.

in BMC Systems Biology (2008), 2

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See detailMathematical Modelling of TNF induced apoptosis and anti-apoptotic crosstalk in mammalian cells
Sauter, T.; Schliemann, Monica ULg; Eißing, T. et al

Poster (2005)

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See detailDomain oriented model reduction of signal transduction models
Conzelmann, H.; Saez-Rodriguez, J.; Sauter, T. et al

Poster (2004, October)

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See detailMathematical modelling applied to caspase activation reveals a requirement for additional control
Eißing, T.; Conzelmann, H.; Gilles, E. D. et al

Poster (2004)

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See detailFeedback Mechanisms in Intra-Cellular Dynamics
Conzelmann, H.; Sauter, T.; Bullinger, Eric ULg et al

Conference (2003, May 29)

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See detailModellreduktion und Analyse des metabolen Netzwerks der Zuckeraufnahme in Escherichia coli
Conzelmann, H.; Sauter, T.; Bullinger, Eric ULg et al

Poster (2003)

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See detailAn approach for dividing models of biological reaction networks into functional units
Ederer, Michael; Sauter, Thomas; Bullinger, Eric ULg et al

in Simulation: Trans. Society for Modeling and Simulation International (2003), 79(12), 703-716

Biological reaction networks consist of many substances and reactions between them. Like many other biological systems, they have a modular structure. Therefore, a division of a biological reaction ... [more ▼]

Biological reaction networks consist of many substances and reactions between them. Like many other biological systems, they have a modular structure. Therefore, a division of a biological reaction network into smaller units highly facilitates its investigation. The authors propose an algorithm to divide an ordinary differential equation (ODE) model of a biological reaction network hierarchically into functional units. For every compound, an activity function dependent on concentration or concentration change rate is defined. After performing suitable simulations, distances between the compounds are computed by comparing the activities along the trajectories of the simulation. The distance information is used to generate a dendrogram revealing the internal structure of the reaction network. The algorithm identifies functional units in two models of different networks: catabolite repression in Escherichia coli and epidermal growth factor (EGF) signal transduction in mammalian cells. [less ▲]

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See detailModel Reduction in Biological Systems Applied to a MAP Kinase Model
Bullinger, Eric ULg; Sauter, T.; Schoeberl, B. et al

Conference (2002, November 04)

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See detailSystems Biology - A Glossary from two perspectives
Haubelt, A.; Bullinger, Eric ULg; Sauter, T. et al

Poster (2002)

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See detailOn Deriving a Hybrid Model for Carbohydrate Uptake in Escherichia Coli
Bullinger, Eric ULg; Sauter, T.; Allgöwer, F. et al

in Proc. 15th IFAC World Congress (2002)

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See detailBiosystems Engineering: Applying methods from systems theory to biological systems
Kremling, A.; Sauter, T.; Bullinger, Eric ULg et al

in Proc. of the 3rd International Conference on Systems Biology (2001, November)

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See detailHypothesis Testing in Escherichia coli using Mathematical Modeling
Sauter, T.; Bullinger, Eric ULg; Allgöwer, F. et al

Poster (2001)

Detailed reference viewed: 6 (0 ULg)