Aktuelle Veröffentlichungen

Lihong Feng, Athanasios C. Antoulas und Peter Benner
Some a posteriori error bounds for reduced-order modelling of (non-)parametrized linear systems
ESAIM: Mathematical Modelling and Numerical Analysis, Volume 51, Number 6, 27. November 2017
DOI: 10.1051/m2an/2017014

Lado Otrin, Nika Marušič, Claudia Bednarz, Tanja Vidaković-Koch, Ingo Lieberwirth, Katharina Landfester und Kai Sundmacher
Toward Artificial Mitochondrion: Mimicking Oxidative Phosphorylation in Polymer and Hybrid Membranes
Nano Letters, 17 (11), pp 6816–6821, 25. Oktober 2017
DOI: 10.1021/acs.nanolett.7b03093

Eileen Edler und Matthias Stein
Recognition and stabilization of geranylgeranylated human Rab5 by the GDP Dissociation Inhibitor (GDI)
SmallGTPases, pp. 1-16, 25. Oktober 2017
DOI: 10.1080/21541248.2017.1371268
Open Access Article

Marian Weiss, Johannes Patrick Frohnmayer, Lucia Theresa Benk, Barbara Haller, Jan-Willi Janiesch, Thomas Heitkamp, Michael Börsch, Rafael B. Lira, Rumiana Dimova, Reinhard Lipowsky, Eberhard Bodenschatz, Jean-Christophe Baret, Tanja Vidakovic-Koch, Kai Sundmacher, Ilia Platzman, Joachim P. Spatz
Sequential bottom-up assembly of mechanically stabilized synthetic cells by microfluidics
Nature Materials, 16. Oktober 2017
DOI: 10.1038/nmat5005

Nicolas M. Kaiser, Michael Jokiel, Kevin McBride, Robert J. Flassig, und Kai Sundmacher

Elena Horosanskaia, Tan Minh Nguyen, Tien Dinh Vu, Andreas Seidel-Morgenstern und Heike Lorenz
Crystallization-Based Isolation of Pure Rutin from Herbal Extract of Sophora japonica L.
Organic Process Research & Development, 2. Oktober 2017
DOI: 10.1021/acs.oprd.7b00247

Axel von Kamp und Steffen Klamt
Growth-coupled overproduction is feasible for almost all metabolites in five major production organisms
Nature Communications 8, 15926, 22. Juni 2017.
DOI: 10.1038/ncomms15956

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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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