Table 3.

Results for fits for a data set (290,000 data points, sampling interval τ = 0.05 ms) collected from type-II IP₃R at 10 μM IP₃, 5 mM ATP, 50 nM Ca²⁺ to different models

Model	qij[ms−1]	qji[ms−1]	Likelihood
$Q_{11}$C1–O2	q12 = 2.684893 ± 0.070417	q21 = 2.721870 ± 0.072489	−141,814
Q21$\begin{array}{c}{O}_3\\ \mid \\ C_1& -& C_2\end{array}$	q12 = 0.039019 ± 0.003728	q21 = 0.086724 ± 0.008305	−125,330
	q13 = 9.787732 ± 0.101025	q31 = 3.250568 ± 0.035998
Q31$\begin{array}{lllll}\hfill & \hfill & O_4\hfill & \hfill & \hfill \\ \hfill & \hfill & \mid \hfill & \hfill & \hfill \\ C_1\hfill & -\hfill & C_2\hfill & -\hfill & C_3\hfill \end{array}$	q12 = 1.125150 ± 0.036311	q21 = 0.094523 ± 0.008178	−125,072
	q23 = 0.004706 ± 0.001427	q32 = 0.011629 ± 0.003210
	q24 = 10.065905 ± 0.139341	q42 = 3.272794 ± 0.047411
Q41C1–C2–C3–C4–O5	q12 = 0.019692 ± 0.007848	q21 = 0.329510 ± 0.169228	−125,082
	q23 = 0.493762 ± 0.133622	q32 = 0.137882 ± 0.052847
	q34 = 1.322551 ± 0.100999	q43 = 0.110575 ± 0.009022
	q45 = 10.110514 ± 0.119087	q54 = 3.272045 ± 0.034769

Mean values and standard deviations are shown for runs of 60,000 iterations (burn-in: 30,000 iterations). Convergence plots for the model Q₃₁ with the best likelihood score are shown in Fig. 7.