how to calculate biokinetic parameters?
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Davide Masiello
el 23 de Sept. de 2022
You can use MatLab's fit function. Let me give you an example.
Let us assume you have the following set of 50 experimental values of S and mu
S = linspace(0,10000,50);
mu = 0.1160*S./(43.53+S+(S.^2/387))-0.5*rand(size(S))/500; % I have added random noise to the measured values
Now, you can create a fittype using, let's say, the Haldane model.
fitfunc = fittype(@(mumax,KS,KI,x) mumax*x./(KS+x+x.^2/KI));
The you give initial guesses for the three parameters.
x0 = [0.1 50 300];
And eventually use fit to optimize the parameters using the experimental data.
f = fit(S',mu',fitfunc,'StartPoint',x0);
coeffvals = coeffvalues(f)
plot(f,S,mu)
As you can see, the coefficient values are slightly different from those specified in your table due to my adding of a random noise to simulate experimental data.
You can use the same procedure with the other functions listed in your table.
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