Web page: http://www.uni-stuttgart.de
for MOSES, COSMIC, BaCell-SysMO and PSYSMO
IBVT, Allmandring 31, 70569 Stuttgart
ISYS, Pfaffenwaldring 9, 70569 Stuttgart
I'm interested in the application and development of methods of systems theory in biology (systems biology). In particulary I work on the following topics:
Thermodynamic constraints on biochemical network; Model reduction; Modeling and Analysis of metabolic regulation.
I'm currently a Postdoc at the Institute of Technical Biochemistry in Stuttgart University. My project involves the experimental validation of the Indirect Enzymatic Dehydration Via Phosphorylation and Dephosphorylation of Isobutanol for Isobutene production.
Expertise: enzyme kinetics, enzymes, Enzymatic reactions, biochemical enzyme characterization, Biochemistry, molecular simulation, molecular modeling, Programming, Bioinformatics, Computational Biology
Tools: Gromacs, Python, Molecular Dynamics, bash, Biochemistry, Bioinformatics, Biochemistry and protein analysis, Enzyme assay, enzyme kinetics, isothermal titration calorimetry, dynamic light scattering, Spectrophotometry
Well rounded biologist/biotechnologist/biochemist/enzymologist/bioinformatician/computational biologist.
PhD student as research associate at the Institute for System Dynamics (ISYS), Universität Stuttgart, Germany. Engineering background→modelling, identification and analyses. Detailed kinetic modelling, identification and analysis of the TCA cycle (tricarboxylic acid cycle, citric acid cycle) and the ETC (electron transport chains, respiratory chains) of Escherichia coli. One of the SysMO-DB pals for SUMO.
Expertise: Microbiology, Biochemistry, Mathematical modelling, Bacillus subtilis, Mathematical modelling of biosystems and bioprocesses, stress responses, Systems Biology, Nonlinear Dynamics, carbon metabolism, Signalling networks, Metabolic Networks
Tools: Computational and theoretical biology, ODE, Matlab, Mathematica, Fermentation, Chromatography, continuous cultivation, Enzyme assay, Computational Systems Biology, Deterministic models, Dynamic modelling, fed-batch cultivation
I am a biologist in the lab of Prof. Reuss at the University of Stuttgart and I am working in the field of biotechnology and mathematical modelling.
The group around Nicole Radde specializes in the modeling, analysis, and simulation of biochemical systems. This especially includes parameter optimization and identification.
Public web page: https://www.ist.uni-stuttgart.de/research/group-of-nicole-radde/
Start date: 11th Feb 2020
Organisms: Not specified
Exploiting native endowments by re-factoring, re-programming and implementing novel control loops in Pseudomonas putida for bespoke biocatalysis. The EmPowerPutida project aims to engineer the lifestyle of Pseudomonas putida to generate a tailored, re-factored chassis for the production of so far non-accessible biological compounds. Pseudomonas putida is a bacterium with a highly versatile metabolism, including the capability to degrade or produce organic chemicals.
Modelling carbon core metabolism in Bacillus subtilis – Exploring the contribution of protein complexes in core carbon and nitrogen metabolism.
Bacillus subtilis is a prime model organism for systems biology approaches because it is one of the most advanced models for functional genomics. Furthermore, comprehensive information on cell and molecular biology, physiology and genetics is available and the European Bacillus community (BACELL) has a well-established reputation for applying
"Systems Understanding of Microbial Oxygen responses" (SUMO) investigates how Escherichia coli senses oxygen, or the associated changes in oxidation/reduction balance, via the Fnr and ArcA proteins, how these systems interact with other regulatory systems, and how the redox response of an E. coli population is generated from the responses of single cells. There are five sub-projects to determine system properties and behaviour and three sub-projects to employ different and complementary modelling
Systems analysis of process-induced stresses: towards a quantum increase in process performance of Pseudomonas putida as the cell factory of choice for white biotechnology.
The specific goal of this project is to exploit the full biotechnological efficacy of Pseudomonas putida KT2440 by developing new optimization strategies that increase its performance through a systems biology understanding of key metabolic and regulatory parameters that control callular responses to key stresses generated
MOSES (Micro Organism Systems biology: Energy and Saccharomyces cerevisiae) develops a new Systems Biology approach, which is called 'domino systems biology'. It uses this to unravel the role of cellular free energy ('ATP') in the control and regulation of cell function. MOSES operates though continuous iterations between partner groups through a new systems-biology driven data-management workflow. MOSES also tries to serve as a substrate for three or more other SYSMO programs.