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Computer Research and Modeling, 2011, Volume 3, Issue 4, Pages 455–475
DOI: https://doi.org/10.20537/2076-7633-2011-3-4-455-475
(Mi crm570)
 

This article is cited in 4 scientific papers (total in 4 papers)

ANALYSIS AND MODELING OF COMPLEX LIVING SYSTEMS

The stoichiometry of metabolic pathways in the dynamics of cellular populations

I. G. Minkevich

The Institute of Biochemistry and Physiology of Microorganisms, Russian Academy of Sciences Prospekt Nauki, 5, Pushchino, Moscow Region, 142290, Russia
Full-text PDF (444 kB) Citations (4)
References:
Abstract: The problem has been considered, to what extent the kinetic models of cellular metabolism fit the matter which they describe. Foundations of stoichiometry of the whole metabolism and its large regions have been stated. A bioenergetic representation of stoichiometry based on a universal unit of chemical compound reductivity, viz., redoxon, has been described. Equations of mass-energy balance (bioenergetic variant of stoichiometry) have been derived for metabolic flows including those of protons possessing high electrochemical potential $\mu_{H+}$, and high-energy compounds. Interrelations have been obtained which determine the biomass yield, rate of uptake of energy source for cell growth and other important physiological quantities as functions of biochemical characteristics of cellular energetics. The maximum biomass energy yield values have been calculated for different energy sources utilized by cells. These values coincide with those measured experimentally.
Keywords: kinetic models, conservation laws, bioenergetics, biomass yield, energy source uptake rate, cell maintenance.
Received: 26.10.2011
Document Type: Article
UDC: 517.91+577.1
Language: Russian
Citation: I. G. Minkevich, “The stoichiometry of metabolic pathways in the dynamics of cellular populations”, Computer Research and Modeling, 3:4 (2011), 455–475
Citation in format AMSBIB
\Bibitem{Min11}
\by I.~G.~Minkevich
\paper The stoichiometry of metabolic pathways in the dynamics of cellular populations
\jour Computer Research and Modeling
\yr 2011
\vol 3
\issue 4
\pages 455--475
\mathnet{http://mi.mathnet.ru/crm570}
\crossref{https://doi.org/10.20537/2076-7633-2011-3-4-455-475}
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  • https://www.mathnet.ru/eng/crm570
  • https://www.mathnet.ru/eng/crm/v3/i4/p455
  • This publication is cited in the following 4 articles:
    1. Viktoriya V. Vorobieva, Ol'ga S. Levchenkova, Karina V. Lenskaya, “Role of bioenergetic hypoxia in the morphological transformation of the myocardium during vibration disease”, Psychopharmacology & biological narcology, 15:1 (2024), 69  crossref
    2. Viktoriya V. Vorobieva, Olga S. Levchenkova, Petr D. Shabanov, “Biochemical mechanisms of the energy-protective action of blockers of slow high-threshold L-type calcium channels”, Rev Clin Pharm Drug Ther, 20:4 (2023), 395  crossref
    3. Iryna Levchuk, Galyna Iutynska, Nadiia Yamborko, “Stenotrophomonas maltophilia IMV B-7288, Pseudomonas putida IMV B-7289 and Bacillus megaterium IMV B-7287 – new selected destructors of organochlorine pesticide hexachlorocyclohexane”, Arch Microbiol, 204:10 (2022)  crossref
    4. V. V. Vorobieva, O. S. Levchenkova, P. D. Shabanov, “Blockade of Rabbit Cardiomyocyte Calcium Channels Restores the Activity of Enzyme-Substrate Complexes of the Respiratory Chain in a Model of Vibration-Mediated Hypoxia”, BIOMEDICINE, 18:4 (2022), 63  crossref
    Citing articles in Google Scholar: Russian citations, English citations
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    Computer Research and Modeling
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    Abstract page:208
    Full-text PDF :450
    References:25
     
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