Hybrid metabolic flux analysis/data-driven modelling of bioprocesses

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This work proposes a hybrid modeling method that combines data-driven modeling, metabolic flux analysis, and bioreactor transport phenomena models. The main objective was to understand the time evolution of metabolism in fedbatch cultivations and to identify favorable conditions for product formation. The overall metabolic network is simplified using the elementary flux modes method. The hybrid modeling scheme was implemented in HYBMOD, an inhouse developed software. Preliminary simulation studies confirmed that HYBMOD could identify the "true" kinetic functions of elementary flux modes provided that a given set of state variables are measured. The method was applied to analyze the data of recombinant BHK-21 cultures.

Original languageEnglish
Pages (from-to)1667-1672
Number of pages6
JournalComputer Aided Chemical Engineering
Issue numberC
Publication statusPublished - 1 Dec 2006


  • BHK21 culture
  • Elementary Flux Modes
  • Hybrid Modelling
  • Metabolic Flux Analysis

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