Table 3

Practical identifiability analysis for the experimental scheme ES1 with () represents the nominal value for the parameters; μES1 is the parameter mean value computed by the Monte-Carlo based approach; δES1 is 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 μES1 in %.

Parameter

θ*

μES1

δES1(in%)

(in %)


c3a

4.00 × 10-4

4.00 × 10-5

0.02

2.20 × 10-5

5.40


c4a

0.50

0.50

0.66

0.046

9.07


c5

3.00 × 10-4

3.01 × 10-4

0.26

1.23 × 10-4

40.8


k1

2.50 × 10-3

2.49 × 10-3

0.46

5.01 × 10-4

20.1


k2

0.10

0.10

1.97

0.04

44.0


k3

1.50 × 10-3

1.49 × 10-3

0.95

5.00 × 10-4

33.7


kprod

2.50 × 10-5

2.60 × 10-5

2.90

1.40 × 10-5

53.7


kdeg

1.25 × 10-4

1.29 × 10-4

3.41

7.80 × 10-5

60.8


i1

2.50 × 10-3

2.49 × 10-3

0.26

4.22 × 10-4

16.9


i1a

1.00 × 10-3

1.00 × 10-3

0.27

1.82 × 10-4

18.1


Balsa-Canto et al. BMC Systems Biology 2010 4:11   doi:10.1186/1752-0509-4-11

Open Data