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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.