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Research

The modeling and simulation group supports the IBG-1 and our partners in academia and industry with model based data analysis, experimental design and process optimization. State of the art models and computational tools are developed and applied in close collaboration with experimental researchers from biology, biochemistry and bioengineering sciences. The modeling and simulation group provides expertise in mathematics, computer science, and related subjects for data driven and quantitative studies of microorganisms and biochemical processes. A major task is the analysis and optimization of biochemical networks with following core competencies (primarily supervised by Dr. Katharina Nöh):


  1. Stationary and nonstationary metabolic flux analysis

  2. Structural and dynamic network analysis

  3. Integrative analysis of multi omics data

The modeling and simulation group is also involved in processes analysis and design (primarily supervised by Dr. Eric von Lieres). Current projects are concerned with:


  1. Automation of lab robotic high throughput experiments

  2. Packed bed and membrane chromatography

  3. Microfluidic lab on microchip systems

Typical projects address parameter identification, error estimation, experimental design, and model validation. Usually an experimental cycle is entered in which models are applied for focusing experimental work and iteratively refined on basis of the experimental outcome. Many projects require advanced numerical methods and high performance computing, in particular when Monte Carlo simulations, global optimization, or computational fluid dynamics are performed. The modeling and simulation group offers mathematical consulting to our internal and external partners.

Specific tools are designed for modeling, simulating and visualizing biochemical systems and for improving interdisciplinary communication. Following software packages are of particular importance:


  1. 13CFLUX for quantifying intracellular fluxes by analysis of carbon labeling experiments

  2. OMIX for editing biochemical networks and visualizing biochemical data

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