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Effects of spatiotemporal variations on metabolic control: Approximate analysis using (log)linear kinetic models
Author(s) -
Hatzimanikatis Vassily,
Bailey James E.
Publication year - 1997
Publication title -
biotechnology and bioengineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 189
eISSN - 1097-0290
pISSN - 0006-3592
DOI - 10.1002/(sici)1097-0290(19970420)54:2<91::aid-bit1>3.0.co;2-q
Subject(s) - metabolic control analysis , biological system , monotonic function , kinetic energy , process (computing) , computer science , mathematics , statistical physics , physics , biology , mathematical analysis , quantum mechanics , insulin , endocrinology , operating system
For many metabolic systems, available experimental data allow description of the system by elasticities and control coefficients. The availability of information of this kind motivated the development of a (log)linear kinetic model of metabolic systems that is completely and explicitly determined by this information. It is shown here that this model can accurately describe the dynamic responses of metabolic systems that exhibit strong nonlinearities. Based on the excellent approximation provided by the (log)linear model, a method is developed for the estimation of the performance of metabolic systems subject to spatiotemporal variations of the system parameters and the process operating conditions. The method suggests experiments that can quantify the effect of these variations. Study of a model glycolytic pathway illustrates the applicability and the usefulness of this framework. Time‐average flux control coefficients are shown to vary strongly and not monotonically as the period of the external variations changes. © 1997 John Wiley & Sons, Inc. Biotechnol Bioeng 54: 91–104, 1997.