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 | 3814 | 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 | 239 | 2006 |
Nonlinear predictive control of a benchmark CSTR H Chen, A Kremling, F Allgöwer Proceedings of 3rd European control conference, 3247-3252, 1995 | 221 | 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 | 198 | 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 | 183 | 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 | 155 | 2004 |
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 | 124 | 2015 |
Modular modeling of cellular systems with ProMoT/Diva M Ginkel, A Kremling, T Nutsch, R Rehner, ED Gilles Bioinformatics 19 (9), 1169-1176, 2003 | 121 | 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 | 121 | 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 | 118 | 2005 |
Optimal experimental design with the sigma point method R Schenkendorf, A Kremling, M Mangold IET systems biology 3 (1), 10-23, 2009 | 106 | 2009 |
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, 1-11, 2017 | 102 | 2017 |
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 | 100 | 2004 |
Systems biology—an engineering perspective A Kremling, J Saez-Rodriguez Journal of biotechnology 129 (2), 329-351, 2007 | 99 | 2007 |
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 | 92 | 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 | 88 | 2004 |
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 | 82 | 2011 |
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 | 82 | 2001 |
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, 185360, 2016 | 77 | 2016 |
Analysis of global control of Escherichia coli carbohydrate uptake A Kremling, K Bettenbrock, ED Gilles BMC systems biology 1, 1-16, 2007 | 67 | 2007 |