Aktuelle Veröffentlichungen

Tapia, F.; Wohlfahrt, D.; Sandig, V.; Jordan, I.; Genzel, Y.; Reichl, U.: Continuous influenza virus production in a tubular bioreactor system provides stable titers and avoids the “von Magnus effect”. PLoS One 14 (11), e0224317 (2019)
Kürschner, P.; Dolgov, S.; Harris, K. D.; Benner, P.: Greedy Low-Rank Algorithm for Spatial Connectome Regression. The Journal of Mathematical Neuroscience 9, 9 (2019)
Ma, B. C.; Caire da Silva, L.; Jo, S.-M.; Wurm, F.; Bannwarth, M. B.; Zhang, K. A. I.; Sundmacher, K.; Landfester, K.: Polymer-Based Module for NAD+ Regeneration with Visible Light. ChemBioChem: A European Journal of Chemical Biology 20 (20) (2019)
Creutznacher, R.; Schulze, E.; Wallmann, G.; Peters, T.; Stein, M.; Mallagaray, A.: Chemical Shift Perturbations Reflect Bile Acid Binding to Norovirus Coat Protein - Recognition Comes in Different Flavors. ChemBioChem: A European Journal of Chemical Biology (angenommen)
Horosanskaia, E.; Triemer, S.; Seidel-Morgenstern, A.; Lorenz, H.: Purification of Artemisinin from the Product Solution of a Semisynthetic Reaction within a Single Crystallization Step. Organic Process Research & Development 23 (9), S. 2074 - 2079 (2019)
Bechtel, S.; Sorrentino, A.; Vidaković-Koch, T.; Weber, A. Z.; Sundmacher, K.: Electrochemical gas phase oxidation of hydrogen chloride to chlorine: Model-based analysis of transport and reaction mechanisms. Electrochimica Acta 324, 134780 (2019)
Venayak, N.; Kamp von, A.; Klamt, S.; Mahadevan, R.: MoVE identifies metabolic valves to switch between phenotypic states. Nature Communications 9, 5332 (2018)

Veranstaltungen

Mit hochrangigen Wissenschaftlerinnen und Wissenschaftlern aus renommierten Forschungseinrichtungen deutschland- und weltweit.

MPI Kolloquiumsreihe 2019

Mit hochrangigen Wissenschaftlerinnen und Wissenschaftlern aus renommierten Forschungseinrichtungen deutschland- und weltweit. [mehr]

Willkommen am Max-Planck-Institut Magdeburg

Nachrichten

Kolloquium

493 1429052926

Optimality and Robustness of Signaling in Microorganisms

The Microbial Network group at the Max Planck Institute for Terrestrial Microbiology in Marburg focuses on quantitative analysis of cellular networks and their dynamics in microorganisms. The group is particularly interested in elucidating mechanisms that enable cellular networks to sensitively detect and integrate multiple extra- and intracellular cues, to robustly function in noisy and perturbing environments, and to plastically adjust their function dependent on the environment. Ultimately, the researchers would like to understand how the structure and function of the network have been shaped by the evolutionary selection. As model systems, the group uses chemotaxis, sugar uptake and two-component signaling in bacteria, as well as the mating behavior in budding yeast. [mehr]

 
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