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Ernst Dieter Gilles
Researcher at Max Planck Society
Publications - 249
Citations - 5684
Ernst Dieter Gilles is an academic researcher from Max Planck Society. The author has contributed to research in topics: Nonlinear system & Process control. The author has an hindex of 40, co-authored 249 publications receiving 5514 citations. Previous affiliations of Ernst Dieter Gilles include University of Stuttgart.
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Journal ArticleDOI
A Logical Model Provides Insights into T Cell Receptor Signaling
Julio Saez-Rodriguez,Luca Simeoni,Jonathan A. Lindquist,Rebecca Hemenway,Ursula Bommhardt,Boerge Arndt,Utz-Uwe Haus,Robert Weismantel,Ernst Dieter Gilles,Steffen Klamt,Burkhart Schraven +10 more
TL;DR: A methodology relying on a logical formalism is applied to the functional analysis of the complex signaling network governing the activation of T cells via the T cell receptor, the CD4/CD8 co-receptors, and the accessory signaling receptor CD28, and it proves to be a promising in silico tool.
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Bistability Analyses of a Caspase Activation Model for Receptor-induced Apoptosis
Thomas Eissing,Holger Conzelmann,Ernst Dieter Gilles,Ernst Dieter Gilles,Frank Allgöwer,Eric Bullinger,Peter Scheurich +6 more
TL;DR: The current knowledge of the molecular mechanisms of the death-receptor-activated caspase cascade is translated into a mathematical model and 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.
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Minimal cut sets in biochemical reaction networks
TL;DR: This work addresses the analysis of potential failure modes in metabolic networks whose occurrence will render the network structurally incapable of performing certain functions, and introduces the concept of minimal cut sets for biochemical networks.
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Robustness properties of circadian clock architectures.
TL;DR: This analysis focuses on the genetic oscillator responsible for generating circadian rhythms in Drosophila as a prototypic dynamical cellular system and shows that the tradeoff between robustness and fragility is largely determined by the regulatory structure.
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FluxAnalyzer: exploring structure, pathways, and flux distributions in metabolic networks on interactive flux maps.
TL;DR: The FluxAnalyzer is a package for MATLAB and facilitates integrated pathway and flux analysis for metabolic networks within a graphical user interface and has been applied and tested for complex networks with more than 500,000 elementary modes.