Michaelis-Menten models

The Michaelis-Menten models describe the relationship between the rate of substrate conversion by an enzyme to the concentration of the substrate. These kinetics are valid only when the concentration of substrate is higher than the concentration of enzyme, and in the case of steady-state, where the concentration of the complex enzyme-substrate is constant.

The Phoenix library contains four Michaelis-Menten models that use constants to supply the dosing information. The required number of constants are listed below under each model number. For an explanation of dosing constants see “Dosing constants for the Michaelis-Menten model”.

Phoenix assumes that the time of the first dose is zero. For these models, times in the dataset must correspond to the dosing times, even if these times contain no observations. In this case, include a column for Weight in the dataset, and weight the observations as zero.

These models parameterize Vmax in terms of concentration per unit of time.

For a discussion of the difficulties in fitting the Michaelis-Menten models see Tong and Metzler (1980) and Metzler and Tong (1981).

Model 301

One-compartment with bolus input and Michaelis-Menten output.

MM301.png
C(t) is the solution to the differential equation:

mmmodelcalc00572.png 

with initial condition C(0)=D/V.

Required constants: Number of doses (N), Dose amount for dose N, Time of dose for dose N
Estimated parameters: V is the volume, Vmax is the max elimination rate, Km is the Michaelis con­stant
Secondary parameters: AUC=(D/V)(D/V/2+Km)/ Vmax

Model 302

One-compartment with constant IV input and Michaelis-Menten output.

MM302.png
C(t) is the solution to the differential equations:

mmmodelcalc00574.png 

with initial condition C(0)=0.

Required constants: Number of doses (N), Dose amount for dose N, Start time of dose for dose N, End time for dose N
Estimated parameters: V is the volume, Vmax is the max elimination rate, Km is the Michaelis con­stant
Secondary parameters: None

Model 303

One-compartment with first-order input, Michaelis-Menten output and no lag time.

MM303.png
C(t) is the solution to the differential equation:

mmmodelcalc00576.png 

with initial condition C(0)=0.

Required constants: Number of doses (N), Dose amount for dose N, Time of dose for dose N
Estimated parameters: V_F, K01 is the absorption rate, Vmax is the max elimination rate, Km is the Michaelis constant
Secondary parameters: K01 half-life

Model 304

One-compartment with first-order input, Michaelis-Menten output and lag time.

MM304.png
C(t) is the solution to the differential equation:

mmmodelcalc00578.png 

with initial condition C(0)=0.

Required constants: Number of doses (N), Dose amount for dose N, Time of dose for dose N
Estimated parameters: V_F, K01 is the absorption rate, Vmax is the max elimination rate, Km is the Michaelis constant, Tlag is the lag time
Secondary parameters: K01 half-life

Dosing constants for the Michaelis-Menten model

The number of constants in the model corresponds to the dosing route for the model.

Bolus and first-order input models require at least three dosing constants per profile:

CON[0]: Number of doses (N)
CON[1]: Dose amount for dose N
CON[2]: Time of dose for dose N
CON[3]: Dose amount for dose N+1 (if multiple doses are used)
CON[4]: Time of dose for dose N+1 (if multiple doses are used)

Constant IV infusion models require at least four dosing constants per profile:

CON[0]: Number of doses (N)
CON[1]: Dose amount for dose N
CON[2]: Start time for dose N
CON[3]: End time for dose N
CON[4]: Dose amount for dose N+1 (if multiple doses are used)
CON[5]: Start time for dose N+1 (if multiple doses are used)
CON[6]: End time for dose N+1 (if multiple doses are used)


Last modified date:7/9/20
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