Quantitative modelling of glycolytic oscillations
Sune Danø
Dept. of Chemistry and CATS, University of Copenhagen
Abstract:
We present a powerful, general method of fitting a model of a
biochemical pathway to experimental substrate concentrations and
dynamical properties measured at a stationary state, when the
mechanism is largely known but kinetic parameters are lacking. Rate
constants and maximum velocities are calculated from the experimental
data by simple algebra without integration of kinetic equations.
Using this direct approach, we fit a comprehensive model of glycolysis
and glycolytic oscillations in intact yeast cells to data measured on
a suspension of living cells of Saccharomyces cerevisiae near a
Hopf bifurcation and to a large set of stationary concentrations and
other data estimated from comparable batch experiments. The resulting
model agrees with almost all experimentally known stationary
concentrations, with the frequency of oscillation and with the
majority of other experimentally known kinetic and dynamical
variables.