Aktuelle Veröffentlichungen

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

Peter Benner, Venera Khoromskaia, and Boris N. Khoromskij
Range-Separated Tensor Format for Many-Particle Modeling
SIAM Journal on Scientific Computing, Vol. 40, Issue 2, 2018, pp. A1034–A1062.
DOI: 10.1137/16M1098930

Hannes K. Buchholz, Matthias Stein
Accurate lattice energies of organic molecular crystals from periodic turbomole calculations
Journal of Computational Chemistry, 5. März 2018, DOI: 10.1002/jcc.25205

Xing Liu, Justin M. Reitsma, Jennifer L. Mamrosh, Yaru Zhang, Ronny Straube, Raymond J. Deshaies
Cand1-mediated adaptive exchange mechanism enables variation in F-box protein expression
Molecular Cell, Volume 69, Issue 5, pp 773 - 786, 1. März 2018
DOI: 10.1016/j.molcel.2018.01.038

Susann Triemer, Kerry Gilmore, Giang T. Vu, Peter H. Seeberger, Andreas Seidel-Morgenstern
Literally green chemical synthesis of artemisinin from plant extracts
Angewandte Chemie International Edition, 21. Februar 2018
DOI: 10.1002/anie.201801424

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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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