Skip to main content

Advertisement

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 %.

From: An iterative identification procedure for dynamic modeling of biochemical networks

Parameter θ* μ ES 1 δES 1(in%) (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