Literature DB >> 15245802

Discrete event, multi-level simulation of metabolite channeling.

Daniela Degenring1, Mathias Röhl, Adelinde M Uhrmacher.   

Abstract

Typically differential equations are employed to simulate cellular dynamics. To develop a valid continuous model based on differential equations requires accurate parameter estimations; an accuracy which is often difficult to achieve, due to the lack of data. In addition, processes in metabolic pathways, e.g. metabolite channeling, seem to be of a rather qualitative and discrete nature. With respect to the available data and to the perception of the underlying system, a discrete rather than a continuous approach to modeling and simulation seems more adequate. A discrete approach does not necessarily imply a more abstract view on the system. If we move from macro to micro and multi-level modeling, aspects of subsystems and their interactions, which have been only implicitly represented, become an explicit part of the model. To start exploring discrete event phenomena within metabolite channeling we choose the tryptophan synthase. Based on a continuous macro model, a discrete event, multi-level model is developed which allows us to analyze the interrelation between structural and functional characteristics of the enzymes.

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Year:  2004        PMID: 15245802     DOI: 10.1016/j.biosystems.2004.03.008

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  4 in total

1.  Stochastic Simulation of Cellular Metabolism.

Authors:  Emalie J Clement; Thomas T Schulze; Ghada A Soliman; Beata J Wysocki; Paul H Davis; Tadeusz A Wysocki
Journal:  IEEE Access       Date:  2020-04-17       Impact factor: 3.367

2.  Protein-protein interactions and metabolite channelling in the plant tricarboxylic acid cycle.

Authors:  Youjun Zhang; Katherine F M Beard; Corné Swart; Susan Bergmann; Ina Krahnert; Zoran Nikoloski; Alexander Graf; R George Ratcliffe; Lee J Sweetlove; Alisdair R Fernie; Toshihiro Obata
Journal:  Nat Commun       Date:  2017-05-16       Impact factor: 14.919

Review 3.  The use of metabolomics to dissect plant responses to abiotic stresses.

Authors:  Toshihiro Obata; Alisdair R Fernie
Journal:  Cell Mol Life Sci       Date:  2012-08-12       Impact factor: 9.261

4.  The integrated analysis of metabolic and protein interaction networks reveals novel molecular organizing principles.

Authors:  Pawel Durek; Dirk Walther
Journal:  BMC Syst Biol       Date:  2008-11-25
  4 in total

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