Hybrid metabolic flux analysis/data-driven modelling of bioprocesses

Ana Teixeira; C. M.L. Alves; P. M. Alves; M. J.T. Carrondo; R. Oliveira

doi:10.1016/S1570-7946(06)80287-7

Hybrid metabolic flux analysis/data-driven modelling of bioprocesses

Ana Teixeira, C. M.L. Alves, P. M. Alves, M. J.T. Carrondo, R. Oliveira

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	1667-1672
Number of pages	6
Journal	Computer Aided Chemical Engineering
Volume	21
Issue number	C
DOIs	https://doi.org/10.1016/S1570-7946(06)80287-7
Publication status	Published - 1 Dec 2006

Keywords

BHK21 culture
Elementary Flux Modes
Hybrid Modelling
Metabolic Flux Analysis

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10.1016/S1570-7946(06)80287-7

Cite this

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T1 - Hybrid metabolic flux analysis/data-driven modelling of bioprocesses

AU - Teixeira, Ana

AU - Alves, C. M.L.

AU - Alves, P. M.

AU - Carrondo, M. J.T.

AU - Oliveira, R.

PY - 2006/12/1

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N2 - 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.

AB - 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.

KW - BHK21 culture

KW - Elementary Flux Modes

KW - Hybrid Modelling

KW - Metabolic Flux Analysis

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VL - 21

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EP - 1672

JO - Computer Aided Chemical Engineering

JF - Computer Aided Chemical Engineering

IS - C

ER -

Hybrid metabolic flux analysis/data-driven modelling of bioprocesses

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Keywords

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