| Year |
Citation |
Score |
| 2022 |
Kremling A. Modeling Approaches to Microbial Metabolism. Methods in Molecular Biology (Clifton, N.J.). 2399: 455-485. PMID 35604566 DOI: 10.1007/978-1-0716-1831-8_17 |
0.302 |
|
| 2022 |
Doan DT, Hoang MD, Heins AL, Kremling A. Applications of Coarse-Grained Models in Metabolic Engineering. Frontiers in Molecular Biosciences. 9: 806213. PMID 35350716 DOI: 10.3389/fmolb.2022.806213 |
0.314 |
|
| 2020 |
Bromig L, Kremling A, Marin-Sanguino A. Understanding biochemical design principles with ensembles of canonical non-linear models. Plos One. 15: e0230599. PMID 32353072 DOI: 10.1371/Journal.Pone.0230599 |
0.437 |
|
| 2019 |
Wagner SG, Mähler C, Polte I, von Poschinger J, Löwe H, Kremling A, Pflüger-Grau K. An automated and parallelised DIY-dosing unit for individual and complex feeding profiles: Construction, validation and applications. Plos One. 14: e0217268. PMID 31216302 DOI: 10.1371/Journal.Pone.0217268 |
0.308 |
|
| 2018 |
Kremling A, Geiselmann J, Ropers D, de Jong H. An ensemble of mathematical models showing diauxic growth behaviour. Bmc Systems Biology. 12: 82. PMID 30241537 DOI: 10.1186/S12918-018-0604-8 |
0.383 |
|
| 2018 |
Löwe H, Sinner P, Kremling A, Pflüger-Grau K. Engineering sucrose metabolism in Pseudomonas putida highlights the importance of porins. Microbial Biotechnology. PMID 29808622 DOI: 10.1111/1751-7915.13283 |
0.342 |
|
| 2018 |
Wagner SG, Ziegler M, Löwe H, Kremling A, Pflüger-Grau K. pTRA - A reporter system for monitoring the intracellular dynamics of gene expression. Plos One. 13: e0197420. PMID 29772009 DOI: 10.1371/Journal.Pone.0197420 |
0.334 |
|
| 2018 |
Hortsch SK, Kremling A. Adjusting Noise in the Genetic Toggle Switch through Stochastic Circuit Design Ifac-Papersonline. 51: 68-71. DOI: 10.1016/J.Ifacol.2018.09.045 |
0.312 |
|
| 2016 |
Löwe H, Kremling A, Marin-Sanguino A. Time Hierarchies and Model Reduction in Canonical Non-linear Models. Frontiers in Genetics. 7: 166. PMID 27708665 DOI: 10.3389/Fgene.2016.00166 |
0.391 |
|
| 2016 |
Hahl SK, Kremling A. A Comparison of Deterministic and Stochastic Modeling Approaches for Biochemical Reaction Systems: On Fixed Points, Means, and Modes. Frontiers in Genetics. 7: 157. PMID 27630669 DOI: 10.3389/Fgene.2016.00157 |
0.381 |
|
| 2015 |
Sehr C, Kremling A, Marin-Sanguino A. Design Principles as a Guide for Constraint Based and Dynamic Modeling: Towards an Integrative Workflow. Metabolites. 5: 601-35. PMID 26501332 DOI: 10.3390/Metabo5040601 |
0.419 |
|
| 2015 |
Kremling A, Geiselmann J, Ropers D, Jong Hd. Understanding carbon catabolite repression in Escherichia coli using quantitative models. Trends in Microbiology. 23: 99-109. PMID 25475882 DOI: 10.1016/J.Tim.2014.11.002 |
0.422 |
|
| 2014 |
Heermann R, Zigann K, Gayer S, Rodriguez-Fernandez M, Banga JR, Kremling A, Jung K. Dynamics of an interactive network composed of a bacterial two-component system, a transporter and K+ as mediator. Plos One. 9: e89671. PMID 24586952 DOI: 10.1371/Journal.Pone.0089671 |
0.313 |
|
| 2013 |
Rodriguez-Fernandez M, Rehberg M, Kremling A, Banga JR. Simultaneous model discrimination and parameter estimation in dynamic models of cellular systems. Bmc Systems Biology. 7: 76. PMID 23938131 DOI: 10.1186/1752-0509-7-76 |
0.4 |
|
| 2012 |
Kremling A, Goehler A, Jahreis K, Nees M, Auerbach B, Schmidt-Heck W, Kökpinar O, Geffers R, Rinas U, Bettenbrock K. Analysis and Design of Stimulus Response Curves of E. coli. Metabolites. 2: 844-71. PMID 24957765 DOI: 10.3390/Metabo2040844 |
0.436 |
|
| 2012 |
Kremling A, Pflüger-Grau K, Chavarría M, Puchalka J, dos Santos VM, de Lorenzo V. Modeling and analysis of flux distributions in the two branches of the phosphotransferase system in Pseudomonas putida. Bmc Systems Biology. 6: 149. PMID 23216700 DOI: 10.1186/1752-0509-6-149 |
0.364 |
|
| 2012 |
Kremling A, Flockerzi D. Structural analysis of a core model for carbohydrate uptake in Escherichia coli. Journal of Theoretical Biology. 303: 62-74. PMID 22763131 DOI: 10.1016/J.Jtbi.2012.03.004 |
0.491 |
|
| 2012 |
Schenkendorf R, Kremling A, Mangold M. Influence of non-linearity to the Optimal Experimental Design demonstrated by a biological system Mathematical and Computer Modelling of Dynamical Systems. 18: 413-426. DOI: 10.1080/13873954.2011.642385 |
0.326 |
|
| 2012 |
Kremling A. The Feed-Forward Motif in Metabolic, Signaling, and Gene Regulatory Networks Chemie Ingenieur Technik. 84: 1403-1403. DOI: 10.1002/Cite.201250078 |
0.378 |
|
| 2011 |
Gabor E, Göhler AK, Kosfeld A, Staab A, Kremling A, Jahreis K. The phosphoenolpyruvate-dependent glucose-phosphotransferase system from Escherichia coli K-12 as the center of a network regulating carbohydrate flux in the cell. European Journal of Cell Biology. 90: 711-20. PMID 21621292 DOI: 10.1016/J.Ejcb.2011.04.002 |
0.317 |
|
| 2010 |
Joy J, Kremling A. Study of the growth of Escherichia coli on mixed substrates using dynamic flux balance analysis Ifac Proceedings Volumes (Ifac-Papersonline). 11: 401-406. DOI: 10.3182/20100707-3-Be-2012.0059 |
0.353 |
|
| 2009 |
Schenkendorf R, Kremling A, Mangold M. Optimal experimental design with the sigma point method. Iet Systems Biology. 3: 10-23. PMID 19154081 DOI: 10.1049/Iet-Syb:20080094 |
0.337 |
|
| 2009 |
Kremling A, Kremling S, Bettenbrock K. Catabolite repression in Escherichia coli- a comparison of modelling approaches. The Febs Journal. 276: 594-602. PMID 19087189 DOI: 10.1111/J.1742-4658.2008.06810.X |
0.452 |
|
| 2008 |
Kremling A, Bettenbrock K, Gilles ED. A feed-forward loop guarantees robust behavior in Escherichia coli carbohydrate uptake. Bioinformatics (Oxford, England). 24: 704-10. PMID 18187443 DOI: 10.1093/Bioinformatics/Btn010 |
0.569 |
|
| 2008 |
Kremling A. Modellierung und Modellanalyse in der Systembiologie am Beispiel der Kohlenhydrataufnahme bei Escherichia coli (Modeling in Systems Biology) At - Automatisierungstechnik. 56. DOI: 10.1524/Auto.2008.0705 |
0.43 |
|
| 2007 |
Kremling A, Bettenbrock K, Gilles ED. Analysis of global control of Escherichia coli carbohydrate uptake. Bmc Systems Biology. 1: 42. PMID 17854493 DOI: 10.1186/1752-0509-1-42 |
0.571 |
|
| 2007 |
Bettenbrock K, Sauter T, Jahreis K, Kremling A, Lengeler JW, Gilles ED. Correlation between growth rates, EIIACrr phosphorylation, and intracellular cyclic AMP levels in Escherichia coli K-12. Journal of Bacteriology. 189: 6891-900. PMID 17675376 DOI: 10.1128/Jb.00819-07 |
0.664 |
|
| 2007 |
Kremling A, Saez-Rodriguez J. Systems biology--an engineering perspective. Journal of Biotechnology. 129: 329-51. PMID 17400319 DOI: 10.1016/J.Jbiotec.2007.02.009 |
0.539 |
|
| 2006 |
Joshi M, Seidel-Morgenstern A, Kremling A. Exploiting the bootstrap method for quantifying parameter confidence intervals in dynamical systems. Metabolic Engineering. 8: 447-55. PMID 16793301 DOI: 10.1016/J.Ymben.2006.04.003 |
0.34 |
|
| 2006 |
Bettenbrock K, Fischer S, Kremling A, Jahreis K, Sauter T, Gilles ED. A quantitative approach to catabolite repression in Escherichia coli. The Journal of Biological Chemistry. 281: 2578-84. PMID 16263707 DOI: 10.1074/Jbc.M508090200 |
0.705 |
|
| 2006 |
Joshi M, Kremling A, Seidel-Morgenstern A. Model based statistical analysis of adsorption equilibrium data Chemical Engineering Science. 61: 7805-7818. DOI: 10.1016/J.Ces.2006.08.052 |
0.329 |
|
| 2005 |
Mangold M, Angeles-Palacios O, Ginkel M, Kremling A, Waschler R, Kienle A, Gilles ED. Computer-Aided Modeling of Chemical and Biological Systems: Methods, Tools, and Applications Industrial & Engineering Chemistry Research. 44: 2579-2591. DOI: 10.1021/Ie0496434 |
0.411 |
|
| 2005 |
Saez-Rodriguez J, Kremling A, Gilles ED. Dissecting the puzzle of life: Modularization of signal transduction networks Computers and Chemical Engineering. 29: 619-629. DOI: 10.1016/J.Compchemeng.2004.08.035 |
0.671 |
|
| 2004 |
Kremling A, Heermann R, Centler F, Jung K, Gilles ED. Analysis of two-component signal transduction by mathematical modeling using the KdpD/KdpE system of Escherichia coli. Bio Systems. 78: 23-37. PMID 15555756 DOI: 10.1016/J.Biosystems.2004.06.003 |
0.635 |
|
| 2004 |
Schmid JW, Mauch K, Reuss M, Gilles ED, Kremling A. Metabolic design based on a coupled gene expression-metabolic network model of tryptophan production in Escherichia coli. Metabolic Engineering. 6: 364-77. PMID 15491865 DOI: 10.1016/J.Ymben.2004.06.003 |
0.644 |
|
| 2004 |
Kremling A, Fischer S, Gadkar K, Doyle FJ, Sauter T, Bullinger E, Allgöwer F, Gilles ED. A benchmark for methods in reverse engineering and model discrimination: problem formulation and solutions. Genome Research. 14: 1773-85. PMID 15342560 DOI: 10.1101/Gr.1226004 |
0.682 |
|
| 2004 |
Kremling A, Fischer S, Sauter T, Bettenbrock K, Gilles ED. Time hierarchies in the Escherichia coli carbohydrate uptake and metabolism. Bio Systems. 73: 57-71. PMID 14729282 DOI: 10.1016/J.Biosystems.2003.09.001 |
0.696 |
|
| 2004 |
Kremling A, Klamt S, Ginkel M, Gilles E. Workbench zur Modellbildung, Simulation und Analyse zellulärer Systeme (Workbench for Model Set Up, Simulation, and Analysis of Cellular Systems) It - Information Technology. 46. DOI: 10.1524/Itit.46.1.12.26503 |
0.582 |
|
| 2004 |
Saez-Rodriguez J, Kremling A, Conzelmann H, Bettenbrock K, Gilles ED. Modular analysis of signal transduction networks Ieee Control Systems Magazine. 24: 35-52. DOI: 10.1109/Mcs.2004.1316652 |
0.607 |
|
| 2003 |
Ginkel M, Kremling A, Nutsch T, Rehner R, Gilles ED. Modular modeling of cellular systems with ProMoT/Diva. Bioinformatics (Oxford, England). 19: 1169-76. PMID 12801880 DOI: 10.1093/Bioinformatics/Btg128 |
0.608 |
|
| 2003 |
Hucka M, Finney A, Sauro HM, Bolouri H, Doyle JC, Kitano H, Arkin AP, Bornstein BJ, Bray D, Cornish-Bowden A, Cuellar AA, Dronov S, Gilles ED, Ginkel M, Gor V, ... ... Kremling A, et al. The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models. Bioinformatics (Oxford, England). 19: 524-31. PMID 12611808 DOI: 10.1093/Bioinformatics/Btg015 |
0.632 |
|
| 2001 |
Kremling A, Bettenbrock K, Laube B, Jahreis K, Lengeler JW, Gilles ED. The organization of metabolic reaction networks. III. Application for diauxic growth on glucose and lactose. Metabolic Engineering. 3: 362-79. PMID 11676570 DOI: 10.1006/Mben.2001.0199 |
0.654 |
|
| 2001 |
Kremling A, Gilles ED. The organization of metabolic reaction networks. II. Signal processing in hierarchical structured functional units. Metabolic Engineering. 3: 138-50. PMID 11289790 DOI: 10.1006/Mben.2000.0175 |
0.643 |
|
| 2001 |
Klamt S, Kremling A, Gilles E. Fluxanalyzer : A Graphical Interface for Stoichiometric and Quantitative Analysis of Metabolic Networks Ifac Proceedings Volumes. 34: 119-124. DOI: 10.1016/S1474-6670(17)34206-4 |
0.616 |
|
| 2001 |
Kremling A, Ginkel M, Gilles ED. Integrating Workbench for Modeling and Numerical Analysis of Cellular Systems Ifac Proceedings Volumes. 34: 85-90. DOI: 10.1016/S1474-6670(17)34200-3 |
0.627 |
|
| 2000 |
Kremling A, Jahreis K, Lengeler JW, Gilles ED. The organization of metabolic reaction networks: a signal-oriented approach to cellular models. Metabolic Engineering. 2: 190-200. PMID 11056061 DOI: 10.1006/Mben.2000.0159 |
0.657 |
|
| 1998 |
Kendlbacher T, Kremling A, Gilles ED. Modellgestützte Optimierung bei der Prozeßführung bioverfahrenstechnischer Prozesse At - Automatisierungstechnik. 46. DOI: 10.1524/Auto.1998.46.8.375 |
0.495 |
|
| 1995 |
Breuel G, Gilles E, Kremling A. A Systematic Approach to Structured Biological Models Ifac Proceedings Volumes. 28: 199-204. DOI: 10.1016/S1474-6670(17)45626-6 |
0.648 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 2016 |
Marin-Sanguino A, Kremling A. Design Principles as a Guide for Metabolic Engineering Chemie Ingenieur Technik. 88: 1407-1407. DOI: 10.1002/Cite.201650503 |
0.295 |
|
| 2018 |
Hortsch SK, Kremling A. Characterization of noise in multistable genetic circuits reveals ways to modulate heterogeneity. Plos One. 13: e0194779. PMID 29579101 DOI: 10.1371/Journal.Pone.0194779 |
0.294 |
|
| 2020 |
Hobmeier K, Löwe H, Liefeldt S, Kremling A, Pflüger-Grau K. A Nitrate-Blind Strain Boosts PHA Production in a Synthetic Mixed Culture. Frontiers in Bioengineering and Biotechnology. 8: 486. PMID 32523942 DOI: 10.3389/Fbioe.2020.00486 |
0.293 |
|
| 2015 |
Deuschle M, Limbrunner S, Rother D, Wahler S, Chavarría M, Lorenzo Vd, Kremling A, Pflüger‐Grau K. Interplay of the PtsN (EIIANtr) protein of Pseudomonas putida with its target sensor kinase KdpD Environmental Microbiology Reports. 7: 899-907. PMID 26224366 DOI: 10.1111/1758-2229.12323 |
0.288 |
|
| 2016 |
Valderrama-Gomez MA, Kreitmayer D, Wolf S, Marin-Sanguino A, Kremling A. Application of theoretical methods to increase succinate production in engineered strains. Bioprocess and Biosystems Engineering. PMID 28040871 DOI: 10.1007/S00449-016-1729-Z |
0.282 |
|
| 2006 |
Joshi M, Kremling A, Seidel-Morgenstern A. Statistische Analyse von Adsorptionsgleichgewichten Chemie Ingenieur Technik. 78: 1290-1290. DOI: 10.1002/Cite.200650405 |
0.271 |
|
| 2018 |
Kyselova L, Kreitmayer D, Kremling A, Bettenbrock K. Type and capacity of glucose transport influences succinate yield in two-stage cultivations. Microbial Cell Factories. 17: 132. PMID 30153840 DOI: 10.1186/S12934-018-0980-1 |
0.268 |
|
| 2004 |
Sosa N, Kremling A, Ratsch E, Rojas I. Web-based visualisation of the transcriptional control network of Escherichia coli. In Silico Biology. 4: 507-15. PMID 15506999 |
0.258 |
|
| 2017 |
Löwe H, Kremling A, Pflüger-Grau K. Bioplastik aus Licht und Luft – das Konzept einer synthetischen Ko-Kultur Biospektrum. 23: 338-340. DOI: 10.1007/S12268-017-0802-8 |
0.25 |
|
| 2017 |
Löwe H, Hobmeier K, Moos M, Kremling A, Pflüger-Grau K. Photoautotrophic production of polyhydroxyalkanoates in a synthetic mixed culture ofand. Biotechnology For Biofuels. 10: 190. PMID 28814973 DOI: 10.1186/S13068-017-0875-0 |
0.249 |
|
| 2023 |
Vogeleer P, Millard P, Arbulú AO, Pflüger-Grau K, Kremling A, Létisse F. Metabolic impact of heterologous protein production in Pseudomonas putida: Insights into carbon and energy flux control. Metabolic Engineering. 81: 26-37. PMID 37918614 DOI: 10.1016/j.ymben.2023.10.005 |
0.239 |
|
| 2021 |
Löwe H, Kremling A. In-Depth Computational Analysis of Natural and Artificial Carbon Fixation Pathways. Biodesign Research. 2021: 9898316. PMID 37849946 DOI: 10.34133/2021/9898316 |
0.235 |
|
| 2002 |
Reuss M, Schmid JW, Kremling A, Mauch K. Modellgestütztes Design der Tryptophanproduktion mitEscherichia coli Chemie Ingenieur Technik. 74: 692-693. DOI: 10.1002/1522-2640(200205)74:5<692::Aid-Cite1111692>3.0.Co;2-G |
0.23 |
|
| 2017 |
Löwe H, Schmauder L, Hobmeier K, Kremling A, Pflüger-Grau K. Metabolic engineering to expand the substrate spectrum of Pseudomonas putida toward sucrose. Microbiologyopen. 6. PMID 28349670 DOI: 10.1002/mbo3.473 |
0.22 |
|
| 2020 |
Hobmeier K, Goëss MC, Sehr C, Schwaminger S, Berensmeier S, Kremling A, Kunte HJ, Pflüger-Grau K, Marin-Sanguino A. Anaplerotic Pathways in : The Role of the Sodium Gradient. Frontiers in Microbiology. 11: 561800. PMID 33101236 DOI: 10.3389/fmicb.2020.561800 |
0.218 |
|
| 2022 |
Hobmeier K, Oppermann M, Stasinski N, Kremling A, Pflüger-Grau K, Kunte HJ, Marin-Sanguino A. Metabolic engineering of : Ectoine secretion is increased by demand and supply driven approaches. Frontiers in Microbiology. 13: 968983. PMID 36090101 DOI: 10.3389/fmicb.2022.968983 |
0.201 |
|
| 2022 |
Kratzl F, Kremling A, Pflüger-Grau K. Streamlining of a synthetic co-culture towards an individually controllable one-pot process for polyhydroxyalkanoate production from light and CO. Engineering in Life Sciences. 23: e2100156. PMID 36619884 DOI: 10.1002/elsc.202100156 |
0.198 |
|
| 2022 |
Hobmeier K, Cantone M, Nguyen QA, Pflüger-Grau K, Kremling A, Kunte HJ, Pfeiffer F, Marin-Sanguino A. Adaptation to Varying Salinity in : Much More Than Ectoine Accumulation. Frontiers in Microbiology. 13: 846677. PMID 35432243 DOI: 10.3389/fmicb.2022.846677 |
0.191 |
|
| 2022 |
Hoang MD, Doan DT, Schmidt M, Kranz H, Kremling A, Heins AL. Application of an triple reporter strain for monitoring of single-cell physiology during L-phenylalanine production. Engineering in Life Sciences. 23: e2100162. PMID 36619877 DOI: 10.1002/elsc.202100162 |
0.172 |
|
| 2021 |
Löwe H, Beentjes M, Pflüger-Grau K, Kremling A. Trehalose production by Cupriavidus necator from CO and hydrogen gas. Bioresource Technology. 319: 124169. PMID 33254445 DOI: 10.1016/j.biortech.2020.124169 |
0.16 |
|
| 2007 |
Kremling A. Comment on mathematical models which describe transcription and calculate the relationship between mRNA and protein expression ratio. Biotechnology and Bioengineering. 96: 815-9. PMID 17058290 DOI: 10.1002/BIT.21065 |
0.148 |
|
| 2021 |
Kremling A. A counting-strategy together with a spatial structured model describes RNA polymerase and ribosome availability in Escherichia coli. Metabolic Engineering. 67: 145-152. PMID 34174424 DOI: 10.1016/j.ymben.2021.06.006 |
0.129 |
|
| 2022 |
Beentjes M, Ortega-Arbulú AS, Löwe H, Pflüger-Grau K, Kremling A. Targeting Transcriptional and Translational Hindrances in a Modular T7RNAP Expression System in Engineered . Acs Synthetic Biology. PMID 36370089 DOI: 10.1021/acssynbio.2c00295 |
0.121 |
|
| 2021 |
Löwe H, Kremling A. Corrigendum to "In-Depth Computational Analysis of Natural and Artificial Carbon Fixation Pathways". Biodesign Research. 2021: 9756012. PMID 37849949 DOI: 10.34133/2021/9756012 |
0.118 |
|
| Hide low-probability matches. |