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.
Institutions: University of Stuttgarthttps://orcid.org/0000-0001-9119-1778
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: carbon metabolism, Signalling networks, metabolic networks, Nonlinear Dynamics, Systems Biology, stress responses, Mathematical modelling of biosystems and bioprocesses, Bacillus subtilis, Mathematical modelling, Biochemistry, Microbiology
Tools: fed-batch cultivation, Dynamic modelling, Computational Systems Biology, Deterministic models, continuous cultivation, Enzyme assay, Chromatography, Fermentation, Matlab, Mathematica, ODE, Computational and theoretical biology
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.
Tools: fed-batch cultivation, In silico Metabolic Network Analysis, Dynamic modelling, including:- Dynamic modelling- Parameter estimation- Optimal experimental design- Dynamic optimization, Computational Systems Biology, evaluation of process dynamics, continuous cultivation, stimulus response experiments, Fermentation
Professor for Biochemcial Engineering, University Stuttgart
From 2005 to 2008 I was group leader at the Institute for System Dynamics at the University of Stuttgart. Since 2008 I am now Professor of Systems Biology at the University of Luxembourg.
The research of the Systems Biology Group at the University of Luxembourg is focussed in the area of experimental and theoretical systems biology. We are applying different modelling techniques (mainly ODE and logical) to biological systems to develop suitable computational models. The analysis of these models
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.
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
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
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.
"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