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Metabolic engineering with multi-objective optimization of kinetic models
2016
Journal of Biotechnology
Kinetic models have a great potential for metabolic engineering applications. They can be used for testing which genetic and regulatory modifications can increase the production of metabolites of interest, while simultaneously monitoring other key functions of the host organism. This work presents a methodology for increasing productivity in biotechnological processes exploiting dynamic models. It uses multi-objective dynamic optimization to identify the combination of targets (enzymatic
doi:10.1016/j.jbiotec.2016.01.005
pmid:26826510
fatcat:2degkbr5znelpnvsqa5ap43lsi