Yield Optimization in Biotechnology

This project addresses product yield optimization in microorganisms grown in continuous culture. Traditional optimization strategies of random mutagenesis and selection will eventually have limited efficacy, thus requiring more focused strategies. The best candidates for such strategies appear to be mathematical models that capture the essence of metabolic systems and permit optimization with computational methods. In the past, models used for this purpose have been stoichiometric, kinetic in the form of S-systems, or ad hoc. Over the past decade, we have explored the optimization of S-system models. More recent studies have been addressing the much more complicated optimization of GMA models.

[10] Voit, E.O.: Optimization in integrated biochemical systems. Biotechn. Bioengin. 40, 572-582, 1992.

[11] Torres, N.V., and E.O. Voit: Pathway Analysis and Optimization in Metabolic Engineering. Cambridge University Press, Cambridge, U.K., 2002.

[12] Polisetty, P.K., E.O. Voit, E.P. Gatzke: Yield Optimization of Saccharomyces cerevisiae using a GMA Model and a MILP-based piecewise linear relaxation method. Proceedings of: Foundations of Systems Biology in Engineering, Santa Barbara, CA, August 7-10, 2005.


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