Mathematical modelling plays a crucial role in analyzing and understanding biological systems. Even in most of the well-established culture systems for manufacturing of biologicals there is much to be learned about the dynamics of cell growth and product formation, the control of basic cell properties and the complex interaction of cells with their physicochemical environment in a bioreactor. Combined with results from extensive experimental investigations at the cellular and at the bioprocess level, adequate mathematical models not only support the detailed analysis of the systems' behaviour, but also the design and optimization of the overall process.

Currently, our work focuses on characterization of segregation instability of expression plasmids used in interferon gamma production in E. coli, the establishment of a dynamical model of herpesvirus replication, and dynamic modelling of central metabolism of mammalian cells cultivated in bioreactors.

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