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Oliveira, J.S., Bailey, C.G., Jones-Oliveira, J.B., Dixon, D.A., Gull, D.W. and Chandler, M.L. (2003) A Computational Model for the Identification of Biochemical Pathways in the krebs Cycle. Journal of Computational Biology: A Journal of Computational Molecular Cell Biology, 10, 57-82.
http://dx.doi.org/10.1089/106652703763255679

has been cited by the following article:

• TITLE: Theoretical Evaluation of Both Unknown Substrate Concentrations and Enzyme Kinetic Constants of Metabolic Cycles

  AUTHORS: Antonio Sillero, Víctor García-Herrero

  KEYWORDS: Metabolic Cycles, Evaluation Substrates, Evaluation Enzymes Constants, Differential Equations, Mathematica

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.8 No.8, August 10, 2015

  ABSTRACT: A formula has been deduced, and named as 2ESKV, relating the concentration of two consecutive substrates of a metabolic cycle with the kinetic constants of the two enzymes involved in their synthesis and degradation. After application of formula 2ESKV to consecutive pairs of substrates and enzymes, a system of interrelated equations was obtained allowing a great variety of theoretical postulates to calculate, back and forth: bunches of unknown enzyme kinetic constants and substrate concentrations, from complementary sets of known data. This vision of a metabolic cycle is of partial application to irreversible pathways and can be useful for modeling and understanding of metabolomics data. To our knowledge, the formula 2ESKV is here described for the first time.