References of "Bullinger, Eric"
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See detailModel Discrimination Tools in Apoptosis
Cimatoribus, C.; Eißing, T.; N., Elvassore et al

in Foundations of Systems Biology in Engineering, FOSBE 2005 (2005, August)

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See detailA Systems Biology Approach to Apoptosis
Bullinger, Eric ULg

Scientific conference (2005, July 20)

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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 detailTowards a systems understanding of the cerebral motor circuit
Wellstead, P.; Mason, O.; O'Connor, W. T. et al

in Proc. Foundations of Systems Biology in Engineering, FOSBE 2005 (2005)

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See detailSensitivity Analysis of Escherichia coli's Tricarboxilic Acid Cycle under Anaerobic Conditions
Ofiteru, I. R.; Lavric, V.; Allgöwer, F. et al

in Proc. Foundations of Systems Biology in Engineering, FOSBE 2005 (2005)

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See detailRobustness properties of apoptosis models with respect to parameter variations and intrinsic noise
Eißing, Thomas; Allgöwer, Frank; Bullinger, Eric ULg

in IEE Proceedings - Systems Biology (2005), 152(4), 221228

Analyses of different robustness aspects for models of the direct signal transduction pathway of receptor-induced apoptosis is presented. Apoptosis is a form of programmed cell death, removing unwanted ... [more ▼]

Analyses of different robustness aspects for models of the direct signal transduction pathway of receptor-induced apoptosis is presented. Apoptosis is a form of programmed cell death, removing unwanted cells within multicellular organisms to maintain a proper balance between cell reproduction and death. Its signalling pathway includes an activation feedback loop that generates bistable behaviour, where the two steady states can be seen as `life' and `death'. Inherent robustness, widely recognised in biological systems, is of major importance in apoptosis signalling, as it guarantees the same cell fate for similar conditions. First, the influence of the stochastic nature of reactions indicating a role for inhibition reactions as noise filters and justifying a deterministic approach in the further analyses is evaluated. Second, the robustness of the bistable threshold with respect to parameter changes is evaluated by statistical methods, showing the need to balance both the forward and the back part of the activation loop. These analyses can also discriminate between the models favouring the model consistent with novel biological findings. The parameter robustness analyses are also applicable to other signal transduction networks, as several have been shown to display bistable behaviour. These methods therefore have a range of possible applications in systems biology not only to measure robustness, but also for model discrimination. [less ▲]

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See detailAdaptive lambda-tracking for nonlinear higher relative degree systems
Bullinger, Eric ULg; Allgöwer, Frank

in Automatica (2005), 41(7), 1191-1200

This paper proposes a relatively simple adaptive controller for nonlinear systems with higher relative degree. The controller achieves lambda-tracking for a large class of nonlinear systems, i.e. it ... [more ▼]

This paper proposes a relatively simple adaptive controller for nonlinear systems with higher relative degree. The controller achieves lambda-tracking for a large class of nonlinear systems, i.e. it asymptotically stabilizes the system up to an error of at most lambda which is chosen by the user. Only little information on the system is needed in the sense that no model needs to be known for the controller design, but only structural information like the relative degree and a lower bound on the positive high-frequency gain. The zero-dynamics does not need to be asymptotically stable, boundedness is sufficient. The controller consists of a high-gain observer, a high-gain observer-state feedback and a common adaptation of both high-gain parameters. The adaptation increases the gains of the observer and the state-feedback whenever the control objective, namely that the tracking error is of magnitude not larger than lambda, is not attained. It is proved that the controller's adaptation converges and the control objective is achieved at least asymptotically. (c) 2005 Elsevier Ltd. All rights reserved. [less ▲]

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See detailIntroduction to Systems Biology
Bullinger, Eric ULg

Scientific conference (2004, October 19)

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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 detailA Systems Biology Perspective of Apoptosis Signalling
Bullinger, Eric ULg

Conference (2004, July 24)

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See detailControl Engineering in Systems Biology
Bullinger, Eric ULg

Scientific conference (2004, July 08)

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See detailSystems Biology: A Systems Theory Perspective
Bullinger, Eric ULg

Scientific conference (2004, February 23)

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See detailSystems Biology: A Systems Theory Perspective
Bullinger, Eric ULg

Conference (2004, February)

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See detailIntegration und Interaktion: Möglichkeiten des Einsatzes von Notebooks und Internet in der regelungstechnischen Lehre
Schumm, Peter; Bullinger, Eric ULg; Schweickhardt, Tobias et al

in at - Automatisierungstechnik (2004), vol.52, no.2

Since a few years high-schools are testing the use of notebooks for teaching purposes and already use them quite successfully. A new approach is to use them also for academic education. In the first part ... [more ▼]

Since a few years high-schools are testing the use of notebooks for teaching purposes and already use them quite successfully. A new approach is to use them also for academic education. In the first part of this article an overview will be given about the concepts of the BMBF-sponsored project Notebook University. The second part describes how notebooks are used in the e-learning project to support the teaching of control theory [less ▲]

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See detailDetailed Mathematical Modeling of Metabolic and Regulatory Networks
Sauter, T.; Bullinger, Eric ULg

in BIOforum Europe (2004), 2004(2), 62--64

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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 detailBistability analyses of a caspase activation model for receptor-induced apoptosis
Eissing, Thomas; Conzelmann, Holger; Gilles, Ernst Dieter et al

in Journal of Biological Chemistry (2004), 279(35), 36892-36897

Apoptosis is an important physiological process crucially involved in development and homeostasis of multicellular organisms. Although the major signaling pathways have been unraveled, a detailed ... [more ▼]

Apoptosis is an important physiological process crucially involved in development and homeostasis of multicellular organisms. Although the major signaling pathways have been unraveled, a detailed mechanistic understanding of the complex underlying network remains elusive. We have translated here the current knowledge of the molecular mechanisms of the death-receptor-activated caspase cascade into a mathematical model. A reduction down to the apoptotic core machinery enables the application of analytical mathematical methods to evaluate the system behavior within a wide range of parameters. Using parameter values from the literature, the model reveals an unstable status of survival indicating the need for further control. Based on recent publications we tested one additional regulatory mechanism at the level of initiator caspase activation and demonstrated that the resulting system displays desired characteristics such as bistability. In addition, the results from our model studies allowed us to reconcile the fast kinetics of caspase 3 activation observed at the single cell level with the much slower kinetics found at the level of a cell population. [less ▲]

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See detailA benchmark for methods in reverse engineering and model discrimination: Problem formulation and solutions
Kremling, Andreas; Fischer, Sophia; Gadkar, Kapil et al

in Genome Research (2004), 14(9), 1773-1785

A benchmark problem is described for the reconstruction and analysis of biochemical networks given sampled experimental data. The growth of the organisms is described in a bioreactor in which one ... [more ▼]

A benchmark problem is described for the reconstruction and analysis of biochemical networks given sampled experimental data. The growth of the organisms is described in a bioreactor in which one substrate is fed into the reactor with a given feed rate and feed concentration. Measurements for some intracellular components are provided representing a small biochemical network. Problems of reverse engineering, parameter estimation, and identifiability are addressed. The contribution mainly focuses oil the problem of model discrimination. If two or more model variants describe the available experimental data, a new experiment must be designed to discriminate between the hypothetical models. For the problem presented, the feed rate and feed concentration of a bioreactor system are available as control inputs. To verify calculated input profiles an interactive Web site (http://www.sysbio.de/projects/benchmark/) is provided. Several solutions based oil linear and nonlinear models are discussed. [less ▲]

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See detailReduction of mathematical models of signal transduction networks: simulation-based approach applied to EGF receptor signalling
Conzelmann, Holger; Saez-Rodriguez, Julio; Sauter, Thomas et al

in IEE Proceedings - Systems Biology (2004), 1(1), 159-169

Biological systems and, in particular, cellular signal transduction pathways are characterised by their high complexity. Mathematical models describing these processes might be of great help to gain ... [more ▼]

Biological systems and, in particular, cellular signal transduction pathways are characterised by their high complexity. Mathematical models describing these processes might be of great help to gain qualitative and, most importantly, quantitative knowledge about such complex systems. However, a detailed mathematical description of these systems leads to nearly unmanageably large models, especially when combining models of different signalling pathways to study cross-talk phenomena. Therefore, simplification of models becomes very important. Different methods are available for model reduction of biological models. Importantly, most of the common model reduction methods cannot be applied to cellular signal transduction pathways. Using as an example the epidermal growth factor (EGF) signalling pathway, we discuss how quantitative methods like system analysis and simulation studies can help to suitably reduce models and additionally give new insights into the signal transmission and processing of the cell [less ▲]

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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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