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Identification of flux control in metabolic networks using non-equilibrium thermodynamics

Paper ID Volume ID Publish Year Pages File Format Full-Text
31727 44833 2010 9 PDF Available
Title
Identification of flux control in metabolic networks using non-equilibrium thermodynamics
Abstract

A method is presented to identify flux controlling reactions in metabolic networks using experimentally determined flux distributions. The method is based on the application of Ziegler's principle for the maximization of entropy production. According to this principle a metabolic network tends to maximize the entropy production rate while satisfying mass balances and maximal rate constraints. Experimental flux data corresponding to four different metabolic states of Saccharomyces cerevisiae were used to identify the corresponding flux controlling reactions. The bottleneck nature of several of the identified reactions was confirmed by earlier studies on over-expression of the identified target genes. The method also explains the failure of all the previous trials of increasing the glycolysis rate by direct over-expression of several glycolytic enzymes. These findings point to a wider use of the method for identification of novel targets for metabolic engineering of microorganisms used for sustainable production of fuels and chemicals.

Keywords
Thermodynamics; Metabolic fluxes; Elementary flux modes; Regulation; Constraining reactions
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Identification of flux control in metabolic networks using non-equilibrium thermodynamics
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Publisher
Database: Elsevier - ScienceDirect
Journal: Metabolic Engineering - Volume 12, Issue 4, July 2010, Pages 369–377
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
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