Parameter estimation with constraints
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Luis B. Walter
el 18 de Nov. de 2024 a las 5:42
Comentada: Luis B. Walter
el 19 de Nov. de 2024 a las 4:51
I am working with SimBiology to fit the parameters of a three-step kinetic model (rate constants: k1, ki1, k2, ki2, k3, ki3) to a series of experimental time courses of an enzyme reaction. Additionally, I have independently obtained experimental values of kcat and Km for the reaction. The expressions for kca and Km terms of the rate constants for the three-step model are:
kcat = (k2.*k3)./(k2 + ki2+ k3)
Km = ((k2.*k3 + ki1.*(ki2 + k3))/(k1.*(k2 + ki2 + k3))).
To constrain the estimation of the rate constants, I included two 'Algebraic Rules' in SimBiology:
1) 20 < (k2.*k3)./(k2 + ki2+ k3)
2) 20 < ((k2.*k3 + ki1.*(ki2 + k3))/(k1.*(k2 + ki2 + k3)))
In this way, I aim to ensure that the estimated rate constants satisfy the known values of kcatk_{cat}kcat and KmK_mKm. However, when I run the SimBiology interface to perform the fitting, I receive the following error messages:
- "Model is overdetermined by the following algebraic rules: '20 < (k2·k3)/(k2 + ki2 + k3)' and '20 < ((k2·k3 + ki1·(ki2 + k3))/(k1·(k2 + ki2 + k3)))'. At least one species, parameter, or compartment in this rule must be non-constant and not defined by a reaction rate, rate rule, or repeated assignment rule."
- "An error occurred while trying to compile the model."
How should I proceed to constrain the fitting of the rate constants for the three-step kinetic model using these two expressions for kcat and Km?"
Best regards
Luis B
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Jeremy Huard
el 18 de Nov. de 2024 a las 11:40
Editada: Jeremy Huard
el 18 de Nov. de 2024 a las 11:45
algebraic rules do not support inequalities. They are meant to define an equation in the form f(x) = 0 and are only recommended when you can't get a closed form solution for x.
In your case, since you have values for kcat and Km, why not define kcat and Km as constant parameters with these values, add two initial assignments for 2 of the rate constant parameters so that your equations hold true, e.g.:
Now, you can estimate the remaining rate constants:
Would this work?
Best,
Jérémy
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