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Table 2 Parameter estimations of the branched pathway model using noisy data

From: Incremental parameter estimation of kinetic metabolic network models

 

Simultaneous method

Incremental method

 

min Φ C a

min Φ S

min Φ C

min Φ S

CPU time (sec)

17.86 h

534.83 ± 22.12

71.88 ± 6.33

1.17 ± 0.12

44.63 h

eSSM GO iterations

254

3494 ± 348

12 ± 2

10 ± 3

426

Parameter error (%)

75.42

54.36 ± 4.47

75.77 ± 6.11 × 10-3

51.15 ± 1.38 × 10-3

34.98

Φ C

3.62 × 10 -2

6.06 × 10-2 ± 1.14 × 10-3

3.52 × 10-2 ± 9.50 × 10-9

4.76 × 10-2 ± 3.81 × 10-7

3.27 × 10 -2

Φ S

2.06 × 10-1

1.34 × 10-1 ± 6.02 × 10-4

1.64 × 10-1 ± 2.23 × 10-5

1.38 × 10-1 ± 2.26 × 10-10

 

1.60 × 10-1

   
  1. a. Two out of five runs completed with a relative improvement of the objective function below 1% between iterations. The rest did not converge within the 5-day time limit after iterating for 805, 699, and 568 times. The corresponding Φ C at termination were 4.08 × 10-2, 5.05 × 10-2 and 6.25 × 10-2, respectively.