Next Article in Journal
In Defense of Gibbs and the Traditional Definition of the Entropy of Distinguishable Particles
Next Article in Special Issue
All in Action
Previous Article in Journal
Cybersemiotics: An Evolutionary World View Going Beyond Entropy and Information into the Question of Meaning

A Statistical Thermodynamical Interpretation of Metabolism

Department of Chemical Engineering and Materials Science, and BioTechnology Institute, University of Minnesota, Minneapolis/St. Paul, MN 55455/55108, USA
Author to whom correspondence should be addressed.
Entropy 2010, 12(8), 1921-1935;
Received: 14 June 2010 / Accepted: 2 August 2010 / Published: 17 August 2010
(This article belongs to the Special Issue Advances in Thermodynamics)
The metabolic network of a cell can be decomposed into discrete elementary modes that contribute, each with a certain probability, to the overall flux through the metabolism. These modes are cell function supporting, fundamental pathways that represent permissible ‘quantum’ states of the metabolism. For the case that cellular regulatory mechanisms for pathway fluxes evolved in an unbiased way, we demonstrate theoretically that the usage probabilities of individual elementary modes are distributed according to Boltzmann’s distribution law such that the rate of entropy production is maximized. Such distribution can be observed experimentally in highly evolved metabolic networks. Therefore, cell function has a natural tendency to operate at a maximum rate of entropy generation using preferentially efficient pathways with small reaction entropies. Ultimately, evolution of metabolic networks appears to be driven by forces that can be quantified by the distance of the current metabolic state from the state of maximum entropy generation that represents the unbiased, most probable selection of fundamental pathway choices. View Full-Text
Keywords: elementary flux modes; maximum entropy principle; metabolic networks; evolution elementary flux modes; maximum entropy principle; metabolic networks; evolution
Show Figures

Figure 1

MDPI and ACS Style

Srienc, F.; Unrean, P. A Statistical Thermodynamical Interpretation of Metabolism. Entropy 2010, 12, 1921-1935.

AMA Style

Srienc F, Unrean P. A Statistical Thermodynamical Interpretation of Metabolism. Entropy. 2010; 12(8):1921-1935.

Chicago/Turabian Style

Srienc, Friedrich, and Pornkamol Unrean. 2010. "A Statistical Thermodynamical Interpretation of Metabolism" Entropy 12, no. 8: 1921-1935.

Find Other Styles

Article Access Map by Country/Region

Only visits after 24 November 2015 are recorded.
Back to TopTop