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Determining metabolic sensitivity coefficients directly from experimental data

Authors :
Schlosser, Paul M.
Holcomb, Tyler
Bailey, James E.
Source :
Biotechnology & Bioengineering; May 1993, Vol. 41 Issue: 11 p1027-1038, 12p
Publication Year :
1993

Abstract

The application of metabolic control theory (MCT), or other methods of determining metabolic sensitivity to the rates of specific cellular processes, such as enzymatic reactions, requires knowledge of the elasticity coefficients (system partial derivatives) for the processes under study. Although rate equations are available in the literature for some enzymatic reactions, there are many reactions and processes for which this is not the case. Although one could perform the experiments necessary to determine the rate equations for a given system, these equations are, in fact, not required for the calculation of sensitivities–only the elasticities (the derivatives) are needed. A more direct and efficient approach would be to compute elasticities directly from experimental data. Errors can analysis and alternative regression techniques are presented which not only allow one to eliminate data components with excessive noise, but also provide guidance as to what additional data may be require for accurate sensitivity analysis. This information indicates which measurements require more accuracy and what additional experiments should be conducted to reduce errors in calculated metabolic sensitivity coefficients. © 1993 Wiley & Sons, Inc.

Details

Language :
English
ISSN :
00063592 and 10970290
Volume :
41
Issue :
11
Database :
Supplemental Index
Journal :
Biotechnology & Bioengineering
Publication Type :
Periodical
Accession number :
ejs39187449
Full Text :
https://doi.org/10.1002/bit.260411105