Aktuelle Veröffentlichungen

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

Björn-Johannes Harder, Katja Bettenbrock, Steffen Klamt
Temperature-dependent dynamic control of the TCA cycle increases volumetric productivity of itaconic acid production by Escherichia coli.
Biotechnology and Bioengineering, Volume 115, Ausgabe 1, Seiten 156–164, Januar 2018, DOI: 10.1002/bit.26446
Open Access Artikel

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

Zu ausgewählten Publikationen ...


Willkommen am Max-Planck-Institut Magdeburg



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