Literature DB >> 1429643

The tricarboxylic acid cycle in Dictyostelium discoideum. III. Analysis of steady state and dynamic behavior.

F Shiraishi1, M A Savageau.   

Abstract

The examination of model robustness in the previous paper (Shiraishi, F., and Savageau, M. A. (1992) J. Biol. Chem. 267, 22919-22925 led to the suggestion that the current model for the tricarboxylic acid cycle in Dictyostelium discoideum is ill-determined with respect to one or more of the features reflecting pyruvate metabolism. This conclusion is further supported here by results of steady state and dynamic analyses. The tricarboxylic acid cycle, according to the current model, is poised on a knife's edge with its behavior rigidly determined; any alteration of the system's components leads to nonviable behavior, as exemplified by explosive accumulation of pyruvate and loss of steady state in response to a minute change in the level of malate dehydrogenase. With the additional results in this paper, we are able to refine the diagnosis of the problem and suggest three different areas of the current model that might profitably be re-examined by experiment. These include the kinetics of the reactions at the malate branch point, the turnover times for the alanine, glutamate, and aspartate pools in vivo, and the dynamic mass balances for the cofactor NAD. We also suggest a minimal modification in the current model that could alleviate or circumvent some of these problems.

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Year:  1992        PMID: 1429643

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  7 in total

1.  On the topological features of optimal metabolic pathway regimes.

Authors:  S M See; J P Dean; G Dervakos
Journal:  Appl Biochem Biotechnol       Date:  1996-09       Impact factor: 2.926

2.  Validation and steady-state analysis of a power-law model of purine metabolism in man.

Authors:  R Curto; E O Voit; A Sorribas; M Cascante
Journal:  Biochem J       Date:  1997-06-15       Impact factor: 3.857

3.  Steady-state global optimization of metabolic non-linear dynamic models through recasting into power-law canonical models.

Authors:  Carlos Pozo; Alberto Marín-Sanguino; Rui Alves; Gonzalo Guillén-Gosálbez; Laureano Jiménez; Albert Sorribas
Journal:  BMC Syst Biol       Date:  2011-08-25

4.  Optimization of biotechnological systems through geometric programming.

Authors:  Alberto Marin-Sanguino; Eberhard O Voit; Carlos Gonzalez-Alcon; Nestor V Torres
Journal:  Theor Biol Med Model       Date:  2007-09-26       Impact factor: 2.432

5.  Coordination of the dynamics of yeast sphingolipid metabolism during the diauxic shift.

Authors:  Fernando Alvarez-Vasquez; Kellie J Sims; Eberhard O Voit; Yusuf A Hannun
Journal:  Theor Biol Med Model       Date:  2007-10-31       Impact factor: 2.432

6.  PENDISC: a simple method for constructing a mathematical model from time-series data of metabolite concentrations.

Authors:  Kansuporn Sriyudthsak; Michio Iwata; Masami Yokota Hirai; Fumihide Shiraishi
Journal:  Bull Math Biol       Date:  2014-05-07       Impact factor: 1.758

Review 7.  Mathematical Modeling and Dynamic Simulation of Metabolic Reaction Systems Using Metabolome Time Series Data.

Authors:  Kansuporn Sriyudthsak; Fumihide Shiraishi; Masami Yokota Hirai
Journal:  Front Mol Biosci       Date:  2016-05-03
  7 in total

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