Modeling Parameters for the Stochastic Activity Network in Figure 2
| Place Names | Initial Markings | Input Gates | Predicates |
| androstenedione | 0 | it11 | MARK(time)>12 && <19 |
| aromatase | 5 | it12 | MARK(time)>=19 |
| apoptosis1,2 | 0 | it21 | MARK(time)<13 |
| cholesterol | 100 | it22 | MARK(time)>15 && <20 |
| estradiol | 0 | it23 | MARK(time)>=20 |
| estrone | 0 | it24 | MARK(time)>12 && <=15 |
| FSH | 100 | feed1,2 | MARK(time)>13 |
| LH | 100 | ||
| progesterone | 0 | ||
| s_a,b,c | 1 | ||
| SCC | 40 | ||
| time | GLOBAL_S(cycle_days) |
| Activity Names | Rates |
| a_e | 0.04* MARK(aromatase) |
| HSD | 4 |
| pregnenolone | 0.2* MARK(SCC) |
| up1 | 0.5* pow(2, MARK(time) – 12) |
| up2 | 0.1* pow(2, 0.5* MARK(time)) |
| up3 | 2 – 0.5* exp(–MARK(time) + 14) |
| down1 | pow(2, 0.7* (MARK(time) – 18)) |
| down2 | 0.1* pow(2, 0.7* (MARK(time) – 20)) |
| down3 | 0.1* (MARK(time) – 12) |
| other1,2 | 0.2 |
| one, two, three | 1000 |









