Aktuelle Veröffentlichungen

Alexander Nikolay, Arnaud Léon, Klaus Schwamborn, Yvonne Genzel, Udo Reichl
Applied Microbiology and Biotechnology, 08 August, 2018
DOI: 10.1007/s00253-018-9275-z

Eric Schulze and Matthias Stein
Simulation of Mixed Self-Assembled Monolayers on Gold: Effect of Terminal Alkyl Anchor Chain and Monolayer Composition
The Journal of Physical Chemistry B, 122 (31), pp 7699–7710, published online 20 July 2018
DOI: 10.1021/acs.jpcb.8b05075

Peter Benner, Pawan Goyal, and Serkan Gugercin
H2-Quasi-Optimal Model Order Reduction for Quadratic-Bilinear Control Systems
SIAM Journal on Matrix Analysis and Applications, Vol. 39, Issue 2, pp. 983-1032, published online 5 June 2018
DOI: 10.1137/16M1098280

Thomas Beneyton, Dorothee Krafft, Claudia Bednarz, Christin Kleineberg, Christian Woelfer, Ivan Ivanov, Tanja Vidakovic-Koch, Kai Sundmacher und Jean-Christophe Baret
Out-of-equilibrium microcompartments for the bottom-up integration of metabolic functions
Nature Communications, 19 June 2018
DOI: 10.1038/s41467-018-04825-1

Petra Schwille, Joachim Spatz, Katharina Landfester, Eberhard Bodenschatz, Stephan Herminghaus,Victor Sourjik, Tobias Erb, Philippe Bastiaens, Reinhard Lipowsky, Anthony Hyman, Peter Dabrock, Jean-Christophe Baret, Tanja Vidakovic-Koch, Peter Bieling, Rumiana Dimova, Hannes Mutschler, Tom Robinson,Dora Tang, Seraphine Wegner, Kai Sundmacher
MaxSynBio ‐ Avenues towards creating cells from the bottom up
Angewandte Chemie, 11 May 2018
DOI: 10.1002/ange.201802288

Zu ausgewählten Publikationen ...

Veranstaltungen

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]

 
Zur Redakteursansicht
loading content