Table 1.
Model | Log likelihood | Bayes factora | ||
---|---|---|---|---|
Phosphorylation | Dephosphorylation | Hydrolysis | ||
Full model | 422.9 | 346.8 | –0.8 | 1 |
–nb | 249.2 | 275.4 | –0.3 | 10.4 |
–pc | 392.4 | 303.2 | –2.4 | 2.2 |
–n,–p | 204.4 | 266.4 | –2.6 | 19.7 |
We define the Bayes factor as the ratio of the marginal likelihood function of the full model over that of the simplified models. We adopt the convention that a Bayes factor larger than 3.2 is substantial evidence against the model (Vyshemirsky & Girolami, 2008).
–n: on/off rates decoupled from nucleotide‐bound state.
–p: on/off rates decoupled from phosphorylation state.