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PMID: 15829355 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, P.H.S. Review

Thermodynamics of stoichiometric biochemical networks in living systems far from equilibrium.

Biophysical chemistry ·Vol. 114 ·No. 2-3 ·2005-04-22 ·Pages 213-20

Qian H, Beard DA

Abstract

The principles of thermodynamics apply to both equilibrium and nonequilibrium biochemical systems. The mathematical machinery of the classic thermodynamics, however, mainly applies to systems in equilibrium. We introduce a thermodynamic formalism for the study of metabolic biochemical reaction (open, nonlinear) networks in both time-dependent and time-independent nonequilibrium states. Classical concepts in equilibrium thermodynamics-enthalpy, entropy, and Gibbs free energy of biochemical reaction systems-are generalized to nonequilibrium settings. Chemical motive force, heat dissipation rate, and entropy production (creation) rate, key concepts in nonequilibrium systems, are introduced. Dynamic equations for the thermodynamic quantities are presented in terms of the key observables of a biochemical network: stoichiometric matrix Q, reaction fluxes J, and chemical potentials of species mu without evoking empirical rate laws. Energy conservation and the Second Law are established for steady-state and dynamic biochemical networks. The theory provides the physiochemical basis for analyzing large-scale metabolic networks in living organisms.

MeSH Terms
Animals Energy Metabolism Metabolism Models, Theoretical Nonlinear Dynamics Thermodynamics
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Qian Hong
Departments of Applied Mathematics and Bioengineering, University of Washington, Seattle, 98195, USA. [email protected]
Beard Daniel A
Article Info
Journal
Biophysical chemistry
Abbr.
Biophys Chem
ISSN
0301-4622
Published
2005-04-22
Epub
2004-00-22
Pages
213-20
Language
English
Region
Netherlands
NLM ID
0403171
Subset
IM
Grants
NIGMS NIH HHS · GM068610 · United States
NHLBI NIH HHS · HL072011 · United States
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