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Table 3 Parameter estimations of the branched pathway model using noise-free data with X 3 missing

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)

85.03 h

4002.01 ± 696.11

1404.22 ± 120.71

445.47 ± 35.94

eSSM GO iterations

308

365 ± 91

67 ± 10

48 ± 10

Parameter error (%)

71.90

43.50 ± 2.34

68.85 ± 4.57

40.47 ± 0.59

Φ C

4.54 × 10 -3

6.46 × 10-3 ± 4.08 × 10-4

3.38 × 10-3 ± 1.14 × 10-4

5.94 × 10-3 ± 3.23 × 10-5

Φ S

1.03

2.99 × 10-2 ± 3.82 × 10-4

8.32 × 10-2 ± 4.04 × 10-3

2.94 × 10-2 ± 2.77 × 10-6

  1. a. Only one 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 471, 435, 863 and 786 times. The corresponding Φ C at termination were 4.99× 10-2, 4.92 × 10-2, 1.17 × 10-2 and 1.57 × 10-2, respectively.
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BMC Systems Biology

ISSN: 1752-0509

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