Document Detail


Effects of spatiotemporal variations on metabolic control: approximate analysis using (log)linear kinetic models.
MedLine Citation:
PMID:  18634077     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
V Hatzimanikatis; J E Bailey
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Biotechnology and bioengineering     Volume:  54     ISSN:  0006-3592     ISO Abbreviation:  Biotechnol. Bioeng.     Publication Date:  1997 Apr 
Date Detail:
Created Date:  2008-07-17     Completed Date:  2009-12-11     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7502021     Medline TA:  Biotechnol Bioeng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  91-104     Citation Subset:  -    
Affiliation:
Institute of Biotechnology, ETH-Zurich, CH-8093 Zurich, Switzerland.
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