help button home button Biophys. J.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH

Biophys. J. BioFAST: First Published December 15, 2006. doi:10.1529/biophysj.106.093138
© 2006 by the Biophysical Society.


A more recent version of this article appeared on March 1, 2007.
This Article
Right arrow Full Text (Rapid PDF)
Right arrow Supplement
Right arrow All Versions of this Article:
biophysj.106.093138v1
92/5/1792    most recent
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Author home page(s):
Christopher S. Henry
Linda J. Broadbelt
Vassily Hatzimanikatis
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Henry, C. S.
Right arrow Articles by Hatzimanikatis, V.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Henry, C. S.
Right arrow Articles by Hatzimanikatis, V.

BIOENERGETICS

Thermodynamics-based Metabolic Flux Analysis

Christopher S. Henry 1, Linda J. Broadbelt 1 and Vassily Hatzimanikatis 2*

1 Northwestern University
2 EPFL

* To whom correspondence should be addressed. E-mail: vassily{at}northwestern.edu.

Submitted on September 27, 2006
Revised on November 1, 2006
Accepted on 3 November 2006


   Abstract
A new form of metabolic flux analysis (MFA) called thermodynamics-based metabolic flux analysis (TMFA) is introduced with the capability of generating thermodynamically feasible flux and metabolite activity profiles on a genome scale. TMFA involves the use of a set of linear thermodynamic constraints in addition to the mass balance constraints typically used in MFA. TMFA produces flux distributions that do not contain any thermodynamically infeasible reactions or pathways, and it provides information about the free energy change of reactions and the range of metabolite activities in addition to reaction fluxes. TMFA is applied to study the thermodynamically feasible ranges for the fluxes and the Gibbs free energy change, rG', of the reactions and the activities of the metabolites in the genome-scale metabolic model of E. coli, iJR904 (1). In the TMFA of the genome scale model, the metabolite activities and reaction are able to achieve a wide range of values at optimal growth. The reaction dihydrooratase is identified as a possible thermodynamic bottleneck in E. coli metabolism with a rG' constrained close to zero while numerous reactions are identified throughout metabolism for which rG' is always highly negative regardless of metabolite concentrations. As it has been proposed previously, these reactions with exclusively negative rG' might be candidates for cell regulation (2), and we find that a significant number of these reactions appear to be the first steps in the linear portion of numerous biosynthesis pathways. The thermodynamically feasible ranges for the concentration ratios ATP/ADP, NAD(P)/NAD(P)H, and H+extracellular/H+intracellular are also determined and found to encompass the values observed experimentally in every case. Further, we find that the NAD/NADH and NADP/NADPH ratios maintained in the cell are close to the minimum feasible ratio and maximum feasible ratio, respectively.

Key Words: E. coli, concentration profile, genome scale, group contribution method, metabolic flux analysis, thermodynamics




This article has been cited by other articles:


Home page
Brief BioinformHome page
F. J. Planes and J. E. Beasley
A critical examination of stoichiometric and path-finding approaches to metabolic pathways
Brief Bioinform, September 1, 2008; 9(5): 422 - 436.
[Abstract] [Full Text] [PDF]


Home page
Biophys. JHome page
M. D. Jankowski, C. S. Henry, L. J. Broadbelt, and V. Hatzimanikatis
Group Contribution Method for Thermodynamic Analysis of Complex Metabolic Networks
Biophys. J., August 1, 2008; 95(3): 1487 - 1499.
[Abstract] [Full Text] [PDF]


Home page
Appl. Environ. Microbiol.Home page
L. A. Hazelwood, J.-M. Daran, A. J. A. van Maris, J. T. Pronk, and J. R. Dickinson
The Ehrlich Pathway for Fusel Alcohol Production: a Century of Research on Saccharomyces cerevisiae Metabolism
Appl. Envir. Microbiol., April 15, 2008; 74(8): 2259 - 2266.
[Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
Copyright © 2006 by the Biophysical Society.