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Kinetic model fitted by nonlinear regression to each dataset
Structural model:
d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))
* parent
d_m1/dt = + f_parent_to_m1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g)
* exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) *
exp(-k2 * time))) * parent - k_m1 * m1
Data:
509 observations of 2 variable(s) grouped in 15 datasets
<mmkin> object
Status of individual fits:
dataset
model 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
DFOP-SFO OK OK OK OK OK OK OK OK OK OK OK OK OK OK OK
OK: No warnings
Mean fitted parameters:
parent_0 log_k_m1 f_parent_qlogis log_k1 log_k2
100.700 -6.299 -0.078 -3.094 -3.954
g_qlogis
0.027
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