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Table 1 Estimated parameter values of the S-system model of the pathway in Figure 2 using log(SSE) < -7 as termination criterion. a Regressor: A: all variables used as regressors and subsequently constrained; B: use of "union" variables as regressors (see Text); C: fully informed selection of regressors (see Text). b time (secs) needed to converge to the solution with log(SSE) < -7. c Convergence results according to AR algorithm: *: convergence to the true solution; **: convergence to different solution; ***: no convergence. d time after running 1,000,000 iterations. See Eq. (12) for optimal parameter values and the Additional file for further comments.

From: Parameter estimation in biochemical systems models with alternating regression

  Regressora α i g i 1 g i 2 g i 3 g i 4 β i h i 1 h i 2 h i 3 h i 4 log(SSE) Time(sec)b Notec
X1 A 12.00 0.00 0.00 -0.80 -0.00 10.00 0.50 -0.00 0.00 0.00 -6.84 0.58 *
  B 12.03 -0.00 0 -0.80 0 10.04 0.50 0 0.00 0 -7.00 2.39 *
  C 12.00 0 0 -0.80 0 9.99 0.50 0 0 0 -6.95 0.17 *
X2 A 44.50 -0.00 -0.02 -0.04 0.11 31.48 0.03 0.14 0.05 -0.13 0.51 1071.58d **
  B 8.01 0.50 0.00 0 0 3.01 -0.00 0.75 0 0 -7.00 0.97 *
  C 8.01 0.50 0 0 0 3.01 0 0.75 0 0 -7.00 69.05 *
X3 A 3.00 0.00 0.75 -0.00 -0.00 5.00 -0.00 0.00 0.50 0.20 -9.44 0.03 *
  B 7.29 0 0.37 -0.00 -0.00 8.76 0 -0.00 0.19 0.04 -4.04 1117.14d **
  C 2.98 0 0.75 0 0 5.00 0 0 0.51 0.20 -7.01 0.50 *
X4 A 96.80 0.01 0.01 -0.00 0.00 100.00 -0.00 -0.01 0.00 0.02 -3.83 4.59 ***
  B 98.29 0.06 0 0 0.00 100.00 -0.00 0 0 0.01 -5.85 341.94 ***
  C 2.016 0.50 0 0 0 5.99 0 0 0 0.80 -6.97 84.91 *