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Identifying Rate‐Controlling Enzymes in Metabolic Pathways without Kinetic Parameters
Author(s) -
Delgado Javier P.,
Liao James C.
Publication year - 1991
Publication title -
biotechnology progress
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.572
H-Index - 129
eISSN - 1520-6033
pISSN - 8756-7938
DOI - 10.1021/bp00007a003
Subject(s) - flux (metallurgy) , kinetic energy , transient (computer programming) , singular value decomposition , metabolic control analysis , decomposition , biological system , principal component analysis , metabolic pathway , basis (linear algebra) , chemistry , metabolite , thermodynamics , enzyme , mathematics , computer science , physics , biochemistry , biology , statistics , geometry , organic chemistry , algorithm , quantum mechanics , insulin , endocrinology , operating system
The flux control coefficients, originally defined by Kacser and Burns, provide a sound theoretical basis for identifying rate‐controlling enzymes in metabolic pathways. However, the calculation of these quantities requires kinetic parameters, which are usually unavailable in practical systems. This article presents a method for evaluating the flux control coefficients by using measurements of metabolite concentrations in a transient state. The basis of this approach is the relationship identified here between transient fluxes and the flux control coefficients. Principal component analysis in the form of singular value decomposition is used to identify such relationships and evaluate the flux control coefficients. The approach does not require kinetic parameters and depends only on the knowledge of pathway stoichiometry, which is generally available.