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Rapid simulation and analysis of isotopomer distributions using constraints based on enzyme mechanisms: an example from HT29 cancer cells
Author(s) -
Vitaly A. Selivanov,
L. E. Meshalkina,
Olga N. Solovjeva,
Philip W. Kuchel,
Antonio RamosMontoya,
G.A. Kochetov,
Paul W. N. Lee,
Marta Cascante
Publication year - 2005
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bti573
Subject(s) - isotopomers , transaldolase , transketolase , pentose phosphate pathway , biological system , chemistry , computer science , computational chemistry , enzyme , glycolysis , biology , biochemistry , organic chemistry , molecule
Addition of labeled substrates and the measurement of the subsequent distribution of the labels in isotopomers in reaction networks provide a unique method for assessing metabolic fluxes in whole cells. However, owing to insufficiency of information, attempts to quantify the fluxes often yield multiple possible sets of solutions that are consistent with a given experimental pattern of isotopomers. In the study of the pentose phosphate pathways, the need to consider isotope exchange reactions of transketolase (TK) and transaldolase (TA) (which in past analyses have often been ignored) magnifies this problem; but accounting for the interrelation between the fluxes known from biochemical studies and kinetic modeling solves it. The mathematical relationships between kinetic and equilibrium constants restrict the domain of estimated fluxes to the ones compatible not only with a given set of experimental data, but also with other biochemical information.

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