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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.