Table 2.

Derived Parameters for Increasing k_n from Least-Squares Fitting to Eq. 2, and from ODE/ABC Analysis

	Derived Parameter	Base	kn × 2	kn × 5	kn × 10
N-E-F	log(kn/k−)	−2.43 ± 0.02	−2.15 ± 0.02	−1.78 ± 0.01	−1.49 ± 0.01
	log(k+k−)	−9.104 ± 0.006	−9.108 ± 0.006	−9.116 ± 0.006	−9.127 ± 0.006
ODE	log(kn/kf)	−3.09 ± 0.03 [−3.00]	−2.78 ± 0.03 [−2.70]	−2.59 ± 0.05 [−2.30]	−2.06 ± 0.02 [−2.00]
	log(ke1kf)	−8.98 ± 0.01 [−9.00]	−8.98 ± 0.01 [−9.00]	−8.91 ± 0.02 [−9.00]	−8.97 ± 0.01 [−9.00]
	log($k_{e{2}^{\ast }}$kf)	−8.98 ± 0.01 [−9.00]	−8.98 ± 0.01 [−9.00]	−8.91 ± 0.02 [−9.00]	−8.98 ± 0.01 [−9.00]
	log(ke1kn)	−12.07 ± 0.02 [−12.00]	−11.76 ± 0.02 [−11.70]	−11.50 ± 0.03 [−11.30]	−11.04 ± 0.01 [−11.00]
	log($k_{e{2}^{\ast }}$kn)	−12.07 ± 0.02 [−12.00]	−11.76 ± 0.02 [−11.70]	−11.50 ± 0.03 [−11.30]	−11.04 ± 0.01 [−11.00]
	log(ke1/$k_{e{2}^{\ast }}$)	−0.0003 ± 0.002 [0]	−0.001 ± 0.001 [0]	−0.002 ± 0.002 [0]	0.001 ± 0.001 [0]

Reported errors indicate standard errors of fitting for N-E-F parameters, and mean ± SE of the derived parameter posterior distributions for ODE (n = 100). Also for ODE, italicized values in brackets indicate the expected value of the derived parameter used to generate a synthetic timecourse.