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PMID: 17208985 Published · ppublish English Comparative Study Evaluation Study Journal Article Research Support, Non-U.S. Gov't

Thermodynamically feasible kinetic models of reaction networks.

Biophysical journal ·Vol. 92 ·No. 6 ·2007-03-15 ·Pages 1846-57

Ederer M, Gilles ED

Abstract

The dynamics of biological reaction networks are strongly constrained by thermodynamics. An holistic understanding of their behavior and regulation requires mathematical models that observe these constraints. However, kinetic models may easily violate the constraints imposed by the principle of detailed balance, if no special care is taken. Detailed balance demands that in thermodynamic equilibrium all fluxes vanish. We introduce a thermodynamic-kinetic modeling (TKM) formalism that adapts the concepts of potentials and forces from irreversible thermodynamics to kinetic modeling. In the proposed formalism, the thermokinetic potential of a compound is proportional to its concentration. The proportionality factor is a compound-specific parameter called capacity. The thermokinetic force of a reaction is a function of the potentials. Every reaction has a resistance that is the ratio of thermokinetic force and reaction rate. For mass-action type kinetics, the resistances are constant. Since it relies on the thermodynamic concept of potentials and forces, the TKM formalism structurally observes detailed balance for all values of capacities and resistances. Thus, it provides an easy way to formulate physically feasible, kinetic models of biological reaction networks. The TKM formalism is useful for modeling large biological networks that are subject to many detailed balance relations.

MeSH Terms
Cell Physiological Phenomena Computer Simulation Energy Transfer/physiology Feasibility Studies Kinetics Models, Biological Models, Chemical Signal Transduction/physiology Thermodynamics
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Ederer Michael
Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany. [email protected]
Gilles Ernst Dieter
References (26)
26 references, click to expand
  1. Metabolic network structure determines key aspects of functionality and regulation.
    Nature. 2002 Nov 14;420(6912):190-3 PMID: 12432396
  2. Energy balance for analysis of complex metabolic networks.
    Biophys J. 2002 Jul;83(1):79-86 PMID: 12080101
  3. An expanded genome-scale model of Escherichia coli K-12 (iJR904 GSM/GPR).
    Genome Biol. 2003;4(9):R54 PMID: 12952533
  4. Thirteen years of building constraint-based in silico models of Escherichia coli.
    J Bacteriol. 2003 May;185(9):2692-9 PMID: 12700248
  5. Thermodynamic-based computational profiling of cellular regulatory control in hepatocyte metabolism.
    Am J Physiol Endocrinol Metab. 2005 Mar;288(3):E633-44 PMID: 15507536
  6. Computational modeling of the dynamics of the MAP kinase cascade activated by surface and internalized EGF receptors.
    Nat Biotechnol. 2002 Apr;20(4):370-5 PMID: 11923843
  7. Thermodynamic constraints for biochemical networks.
    J Theor Biol. 2004 Jun 7;228(3):327-33 PMID: 15135031
  8. Computational systems biology.
    Nature. 2002 Nov 14;420(6912):206-10 PMID: 12432404
  9. A network model of early events in epidermal growth factor receptor signaling that accounts for combinatorial complexity.
    Biosystems. 2006 Feb-Mar;83(2-3):136-51 PMID: 16233948
  10. How to impose microscopic reversibility in complex reaction mechanisms.
    Biophys J. 2004 Jun;86(6):3510-8 PMID: 15189850
  11. Thermodynamics of stoichiometric biochemical networks in living systems far from equilibrium.
    Biophys Chem. 2005 Apr 22;114(2-3):213-20 PMID: 15829355
  12. Cycle kinetics, steady state thermodynamics and motors-a paradigm for living matter physics.
    J Phys Condens Matter. 2005 Nov 30;17(47):S3783-94 PMID: 21690724
  13. Quantification of short term signaling by the epidermal growth factor receptor.
    J Biol Chem. 1999 Oct 15;274(42):30169-81 PMID: 10514507
  14. Genome-scale metabolic model of Helicobacter pylori 26695.
    J Bacteriol. 2002 Aug;184(16):4582-93 PMID: 12142428
  15. On imposing detailed balance in complex reaction mechanisms.
    Biophys J. 2006 Aug 1;91(3):1136-41 PMID: 16698778
  16. Stoichiometric network theory for nonequilibrium biochemical systems.
    Eur J Biochem. 2003 Feb;270(3):415-21 PMID: 12542691
  17. A domain-oriented approach to the reduction of combinatorial complexity in signal transduction networks.
    BMC Bioinformatics. 2006;7:34 PMID: 16430778
  18. Calculation of standard transformed Gibbs energies and standard transformed enthalpies of biochemical reactants.
    Arch Biochem Biophys. 1998 May 1;353(1):116-30 PMID: 9578607
  19. Extreme pathways and Kirchhoff's second law.
    Biophys J. 2002 Nov;83(5):2879-82 PMID: 12425318
  20. Ab initio prediction of thermodynamically feasible reaction directions from biochemical network stoichiometry.
    Metab Eng. 2005 Jul;7(4):251-9 PMID: 16140239
  21. Genome-scale reconstruction of the metabolic network in Staphylococcus aureus N315: an initial draft to the two-dimensional annotation.
    BMC Microbiol. 2005;5:8 PMID: 15752426
  22. Modeling methanogenesis with a genome-scale metabolic reconstruction of Methanosarcina barkeri.
    Mol Syst Biol. 2006;2:2006.0004 PMID: 16738551
  23. Sensitivity, principal component and flux analysis applied to signal transduction: the case of epidermal growth factor mediated signaling.
    Bioinformatics. 2005 Apr 1;21(7):1194-202 PMID: 15531606
  24. Web-based kinetic modelling using JWS Online.
    Bioinformatics. 2004 Sep 1;20(13):2143-4 PMID: 15072998
  25. Reconstruction and validation of Saccharomyces cerevisiae iND750, a fully compartmentalized genome-scale metabolic model.
    Genome Res. 2004 Jul;14(7):1298-309 PMID: 15197165
  26. BioNetGen: software for rule-based modeling of signal transduction based on the interactions of molecular domains.
    Bioinformatics. 2004 Nov 22;20(17):3289-91 PMID: 15217809
Article Info
Journal
Biophysical journal
Abbr.
Biophys J
ISSN
0006-3495
Published
2007-03-15
Epub
2007-00-05
Pages
1846-57
Language
English
Region
United States
NLM ID
0370626
PMCID
PMC1861785
Subset
IM
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