Table 2. List of the estimated parameter values.

Parameter	Value	Description
β 1		Degradation rate of x 1 (based on Western Blot data)
β 2		Degradation rate of x 2
β 3		Degradation rate of x 3
β 4		Degradation rate of x 4 (based on RT-PCR data)
β 5		Degradation rate of x 5
β 6		Degradation rate of x 6, based on (2)
β 7		Degradation rate of x 7 (based on RT-PCR data)
K 1	2.1	Weighted factor
K 4	11.0	Weighted factor
K 61	8.6	Weighted factor
K 66	1.3	Weighted factor
K 7	1.2	Weighted factor
k 12		Threshold of x 2 to inhibit x 1
k 23		Threshold of x 3 to activate x 2
k 41	1.7	Threshold of x 1 to activate x 4
k 61	1.4	Threshold of x 1 to activate x 6
k 66		Threshold of x 6 to activate x 6 (auto-regulation)
k 65		Threshold of x 5 to activate x 6
k 76		Threshold of x 6 to activate x 7
n 12	4	Coefficient of nonlinearity for x 2 to inhibit x 1
n 23	4	Coefficient of nonlinearity for x 3 to activate x 2
n 41	4	Coefficient of nonlinearity for x 1 to activate x 4
n 61	4	Coefficient of nonlinearity for x 1 to activate x 6
n 66	4	Coefficient of nonlinearity for x 6 to activate x 6
n 65	4	Coefficient of nonlinearity for x 5 to activate x 6
n 76	4	Coefficient of nonlinearity for x 6 to activate x 7

Parameters such as mRNA degradation rates are estimated based on our data or from existing literatures. Values of other parameters such as activation/inhibition threshold k and relative weights K are estimated to fit in the time course data by genetic algorithm of least square regression. Degradation rates are in the unit of/min. Activation/inhibition thresholds, nonlinearity coefficients and relative weights for multiple inputs are non-dimensionalized.