Literature DB >> 10935935

Dynamic optimal control of homeostasis: an integrative system approach for modeling of the central nitrogen metabolism in Saccharomyces cerevisiae.

N A van Riel1, M L Giuseppin, C T Verrips.   

Abstract

The theory of dynamic optimal metabolic control (DOMC), as developed by Giuseppin and Van Riel (Metab. Eng., 2000), is applied to model the central nitrogen metabolism (CNM) in Saccharomyces cerevisiae. The CNM represents a typical system encountered in advanced metabolic engineering. The CNM is the source of the cellular amino acids and proteins, including flavors and potentially valuable biomolecules; therefore, it is also of industrial interest. In the DOMC approach the cell is regarded as an optimally controlled system. Given the metabolic genotype, the cell faces a control problem to maintain an optimal flux distribution in a changing environment. The regulation is based on strategies and balances feedback control of homeostasis and feedforward regulation for adaptation. The DOMC approach is an integrative, holistic approach, not based on mechanistic descriptions and (therefore) not biased by the variation present in biochemical and molecular biological data. It is an effective tool to structure the rapidly increasing amount of data on the function of genes and pathways. The DOMC model is used successfully to predict the responses of pulses of ammonia and glutamine to nitrogen-limited continuous cultures of a wild-type strain and a glutamine synthetase-negative mutant. The simulation results are validated with experimental data.

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Year:  2000        PMID: 10935935     DOI: 10.1006/mben.1999.0137

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  4 in total

1.  Applications of analysis of dynamic adaptations in parameter trajectories.

Authors:  Natal A W van Riel; Christian A Tiemann; Joep Vanlier; Peter A J Hilbers
Journal:  Interface Focus       Date:  2013-04-06       Impact factor: 3.906

2.  Hierarchical amino acid utilization and its influence on fermentation dynamics: rifamycin B fermentation using Amycolatopsis mediterranei S699, a case study.

Authors:  Prashant M Bapat; Debasish Das; Sujata V Sohoni; Pramod P Wangikar
Journal:  Microb Cell Fact       Date:  2006-11-02       Impact factor: 5.328

3.  DMPy: a Python package for automated mathematical model construction of large-scale metabolic systems.

Authors:  Robert W Smith; Rik P van Rosmalen; Vitor A P Martins Dos Santos; Christian Fleck
Journal:  BMC Syst Biol       Date:  2018-06-19

Review 4.  Metabolic Modelling as a Framework for Metabolomics Data Integration and Analysis.

Authors:  Svetlana Volkova; Marta R A Matos; Matthias Mattanovich; Igor Marín de Mas
Journal:  Metabolites       Date:  2020-07-24
  4 in total

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