Publications

1. K Tummler, T Lubitz, M Schelker and E Klipp.
   New types of experimental data shape the use of enzyme kinetics for dynamic network modeling.
   FEBS J. 281 (2):549–571, January 2014.
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2. S F Thieme, J L Vahldiek, K Tummler, F Poch, O H Gemeinhardt, B Hiebl, K S Lehmann, B Hamm and S M Niehues.
   Value or waste: perfusion imaging following radiofrequency ablation –early experience.
   Clin. Hemorheol. Microcirc. 61 (2):323–331, 2015.
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3. K Tummler, C Kühn and E Klipp.
   Dynamic metabolic models in context: biomass backtracking.
   Integr. Biol. 7 (8):940–951, 2015.
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4. D Davidi, E Noor, W Liebermeister, A Bar-Even, A Flamholz, K Tummler, U Barenholz, M Goldenfeld, T Shlomi and R Milo.
   Global characterization of in vivo enzyme catalytic rates and their correspondence to in vitro kcat measurements.
   Proc. Natl. Acad. Sci. U.S.A. 113 (12):3401–3406, 2016.
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5. V Schützhold, J Hahn, K Tummler and E Klipp.
   Computational modeling of lipid metabolism in yeast.
   Front. Mol. Biosci. 3:57, 2016.
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6. K Tummler, M Zimmermann, O T Schubert, R Aebersold, C Kühn, U Sauer and E Klipp.
   Two parallel pathways implement robust propionate catabolism and detoxification in mycobacteria.
   bioRxiv, 2018.
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7. K Tummler and E Klipp.
   The discrepancy between data for and expectations on metabolic models: How to match experiments and computational efforts to arrive at quantitative predictions?.
   Curr. Opin. Syst. Biol. 8:1–6, 2018.
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8. Lotte Teufel, Katja Tummler, Max Flöttmann, Andreas Herrmann, Naama Barkai and Edda Klipp.
   A transcriptome-wide analysis deciphers distinct roles of G1 cyclins in temporal organization of the yeast cell cycle.
   Scientific Reports 9(1):3343, 2019.
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