Flux control coefficients determined by inhibitor titration: the design and analysis of experiments to minimize errors.
This paper is a study into the effects of experimental error on the estimated values of flux control coefficients obtained using specific inhibitors. Two possible techniques for analysing the experimental data are compared: a simple extrapolation method (the so-called graph method) and a non-linear function fitting method. For these techniques, the sources of systematic errors are identified and the effects of systematic and random errors are quantified, using both statistical analysis and numerical computation. It is shown that the graph method is very sensitive to random errors and, under all conditions studied, that the fitting method, even under conditions where the assumptions underlying the fitted function do not hold, outperformed the graph method. Possible ways of designing experiments to minimize the effects of experimental errors are analysed and discussed.
Small
J R
JR
Institute of Cell, Animal and Population Biology, University of Edinburg, Scotland, UK.
D004791:Enzyme Inhibitors / Q000494:pharmacology*; D004798:Enzymes / Q000378:metabolism*; D007700:Kinetics; D008433:Mathematics; D008928:Mitochondria / Q000201:enzymology; D008962:Models, Theoretical
D004791:Enzyme Inhibitors; D004798:Enzymes