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Table 2 Systems biology test models and their key characteristics, namely number of states (n x ), number of parameters (n p ), number of non-zeros of the Jacobians nnz(J f ), integration time interval (t), and biological system described by the model

From: A specialized ODE integrator for the efficient computation of parameter sensitivities

Model

n x

n p

nnz(J f )

nnz(J Jf )

t

Comments

Hornberg et al.[37]

8

19

22

32

[0,100]

Steady state, ERK1 phosphorylation and kinase/phosphatase control.

Kholodenko et al.[38]

23

51

137

372

[0,100]

Steady state, short term signaling by the EGF receptor.

Singh et al.[39]

66

109

323

846

[0,35 000]

Steady state, IL-6 signal transduction in hepatocytes.

Borisov et al.[40]

90

136

468

2156

[0,1 000]

Steady state, insulin-EGF network interactions in mitogenic signaling.

Ung et al.[41]

200

314

956

4038

[0,4 000]

Steady state, regulation of EGFR endocytosis and EGFR-ERK signaling by crosstalk.

Elowitz & Leibler [42]

6

8

12

18

[0,1 000]

Oscillatory, synthetic network of transcriptional regulators.

Leloup & Goldbeter [43]

10

48

30

52

[0,300]

Oscillatory, circadian oscillations of PER and TIM proteins in Drosophila.

Wolf et al.[44]

13

40

47

99

[0,300]

Oscillatory, autonomous metabolic oscillations in continuous culture of S. cerevisiae.

Goldbeter & Pourquié [45]

20

73

47

76

[0,300]

Oscillatory, segmentation clock by crosstalk of Notch, Wnt, and FGF pathways.

Xie & Kulasiri [46]

24

49

57

107

[0,100]

Oscillatory, circadian rhythms in Drosophila with interlocked feedback loops.

  1. 1Abbreviations used: ERK = extracellular regulated kinase; EGF = epidermal growth factor; IL-6 = interleukin 6; FGF = fibroblast growth factor.