Table 3 Practical identifiability analysis for the experimental scheme ES1 with (
) represents the nominal value for the parameters; μES 1is the parameter mean value computed by the Monte-Carlo based approach; δES 1is the relative distance between the mean and the nominal computed as 
, 
corresponds to the predicted maximum uncertainty of the given parameter and 
represents the uncertainty with respect to μES 1in %.
) represents the nominal value for the parameters; μES 1is the parameter mean value computed by the Monte-Carlo based approach; δES 1is the relative distance between the mean and the nominal computed as 
, 
corresponds to the predicted maximum uncertainty of the given parameter and 
represents the uncertainty with respect to μES 1in %.From: An iterative identification procedure for dynamic modeling of biochemical networks
Parameter | θ* | μ ES 1 | δES 1(in%) |
|
|
|---|---|---|---|---|---|
c 3a | 4.00 × 10-4 | 4.00 × 10-5 | 0.02 | 2.20 × 10-5 | 5.40 |
c 4a | 0.50 | 0.50 | 0.66 | 0.046 | 9.07 |
c 5 | 3.00 × 10-4 | 3.01 × 10-4 | 0.26 | 1.23 × 10-4 | 40.8 |
k 1 | 2.50 × 10-3 | 2.49 × 10-3 | 0.46 | 5.01 × 10-4 | 20.1 |
k 2 | 0.10 | 0.10 | 1.97 | 0.04 | 44.0 |
k 3 | 1.50 × 10-3 | 1.49 × 10-3 | 0.95 | 5.00 × 10-4 | 33.7 |
k prod | 2.50 × 10-5 | 2.60 × 10-5 | 2.90 | 1.40 × 10-5 | 53.7 |
k deg | 1.25 × 10-4 | 1.29 × 10-4 | 3.41 | 7.80 × 10-5 | 60.8 |
i 1 | 2.50 × 10-3 | 2.49 × 10-3 | 0.26 | 4.22 × 10-4 | 16.9 |
i 1a | 1.00 × 10-3 | 1.00 × 10-3 | 0.27 | 1.82 × 10-4 | 18.1 |