Aktuelle Veröffentlichungen

1.
Melnikov, S.; Stein, M.: Solvation and Dynamics of CO2 in Aqueous Alkanolamine Solutions. ACS Sustainable Chemistry & Engineering (angenommen)
2.
Rätze, K.; Jokiel, M.; Kaiser , N. M.; Sundmacher, K.: Cyclic Operation of a Semi-Batch Reactor for the Hydroformylation of Long-Chain Olefins and Integration in a Continuous Production Process. Chemical Engineering Journal (angenommen)
3.
Hädicke, O.; Kamp von, A.; Aydogan, T.; Klamt, S.: OptMDFpathway: Identification of metabolic pathways with maximal thermodynamic driving force and its application for analyzing the endogenous CO2 fixation potential of Escherichia coli. PLoS Computational Biology 14 (9), e1006492 (2018)
4.
Münzberg, S.; Vu, T. G.; Seidel-Morgenstern, A.: Generalizing Countercurrent Processes: Distillation and Beyond. Chemie-Ingenieur-Technik 90 (11), S. 1769 - 1781 (2018)
5.
Benner, P.; Qiu, Y.; Stoll, M.: Low-Rank Eigenvector Compression of Posterior Covariance Matrices for Linear Gaussian Inverse Problems. SIAM/ASA Journal on Uncertainty Quantification 6 (2), S. 965 - 989 (2018)

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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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