Andreas Kremling
Andreas Kremling
TU München, Division Systems biotechnology
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models
M Hucka, A Finney, HM Sauro, H Bolouri, JC Doyle, H Kitano, AP Arkin, ...
Bioinformatics 19 (4), 524-531, 2003
Exploiting the bootstrap method for quantifying parameter confidence intervals in dynamical systems
M Joshi, A Seidel-Morgenstern, A Kremling
Metabolic engineering 8 (5), 447-455, 2006
Nonlinear predictive control of a benchmark CSTR
H Chen, A Kremling, F Allgöwer
Proceedings of 3rd European control conference, 3247-3252, 1995
A quantitative approach to catabolite repression in Escherichia coli
K Bettenbrock, S Fischer, A Kremling, K Jahreis, T Sauter, ED Gilles
Journal of Biological Chemistry 281 (5), 2578-2584, 2006
Correlation between Growth Rates, EIIACrr Phosphorylation, and Intracellular Cyclic AMP Levels in Escherichia coli K-12
K Bettenbrock, T Sauter, K Jahreis, A Kremling, JW Lengeler, ED Gilles
Journal of bacteriology 189 (19), 6891-6900, 2007
A benchmark for methods in reverse engineering and model discrimination: problem formulation and solutions
A Kremling, S Fischer, K Gadkar, FJ Doyle, T Sauter, E Bullinger, ...
Genome research 14 (9), 1773-1785, 2004
Modular modeling of cellular systems with ProMoT/Diva
M Ginkel, A Kremling, T Nutsch, R Rehner, ED Gilles
Bioinformatics 19 (9), 1169-1176, 2003
The organization of metabolic reaction networks: III. Application for diauxic growth on glucose and lactose
A Kremling, K Bettenbrock, B Laube, K Jahreis, JW Lengeler, ED Gilles
Metabolic engineering 3 (4), 362-379, 2001
Dissecting the puzzle of life: modularization of signal transduction networks
J Saez-Rodriguez, A Kremling, ED Gilles
Computers & chemical engineering 29 (3), 619-629, 2005
Understanding carbon catabolite repression in Escherichia coli using quantitative models
A Kremling, J Geiselmann, D Ropers, H de Jong
Trends in microbiology 23 (2), 99-109, 2015
Modular analysis of signal transduction networks
J Saez-Rodriguez, A Kremling, H Conzelmann, K Bettenbrock, ED Gilles
IEEE Control Systems Magazine 24 (4), 35-52, 2004
Systems biology—an engineering perspective
A Kremling, J Saez-Rodriguez
Journal of biotechnology 129 (2), 329-351, 2007
Optimal experimental design with the sigma point method
R Schenkendorf, A Kremling, M Mangold
IET systems biology 3 (1), 10-23, 2009
The organization of metabolic reaction networks: a signal-oriented approach to cellular models
A Kremling, K Jahreis, JW Lengeler, ED Gilles
Metabolic Engineering 2 (3), 190-200, 2000
Metabolic design based on a coupled gene expression—metabolic network model of tryptophan production in Escherichia coli
JW Schmid, K Mauch, M Reuss, ED Gilles, A Kremling
Metabolic Engineering 6 (4), 364-377, 2004
The organization of metabolic reaction networks: II. signal processing in hierarchical structured functional units
A Kremling, ED Gilles
Metabolic Engineering 3 (2), 138-150, 2001
Photoautotrophic production of polyhydroxyalkanoates in a synthetic mixed culture of Synechococcus elongatus cscB and Pseudomonas putida cscAB
H Löwe, K Hobmeier, M Moos, A Kremling, K Pflüger-Grau
Biotechnology for biofuels 10 (1), 1-11, 2017
The phosphoenolpyruvate-dependent glucose–phosphotransferase system from Escherichia coli K-12 as the center of a network regulating carbohydrate flux in the cell
E Gabor, AK Göhler, A Kosfeld, A Staab, A Kremling, K Jahreis
European journal of cell biology 90 (9), 711-720, 2011
Analysis of global control of Escherichia coli carbohydrate uptake
A Kremling, K Bettenbrock, ED Gilles
BMC systems biology 1, 1-16, 2007
A comparison of deterministic and stochastic modeling approaches for biochemical reaction systems: on fixed points, means, and modes
SK Hahl, A Kremling
Frontiers in genetics 7, 157, 2016
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