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Yikun Tan and Prof. James C. Liao Metabolic ensemble modeling for strain engineers Biotechnology Journal 7

Article first published online: 21 OCT 2011 | DOI: 10.1002/biot.201100186

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Previous mathematical modeling efforts have made significant contributions to the development of systems biology for predicting biological behavior quantitatively; however, dynamic metabolic model construction remains challenging due to uncertainties in mechanistic structures and parameters. In this review, the authors focus on approaches that utilize readily available fermentation data for parameter screening and model validation. This metabolic ensemble modeling approach, has been shown to be useful in designing Escherichia coli strains.

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