Table 2. Parameter fits for innate/adaptive/minimal immune mixed effects models.
These values represent the mean and standard deviation of the priors that maximize the likelihood as calculated by monolix. All parameters are assumed to be log-normally distributed, constraining all parameters to be positive. In some cases the standard deviation is greater than the mean, because the lognormal distribution can be highly skewed. (gen/ml) refers to viral genomes per ml of blood. Parameter distributions for all models are show in Online Resource 1 Figures 2–5
| Parameter | Description | Innate | Adaptive | Minimal | |||
|---|---|---|---|---|---|---|---|
| Mean | S.D. | Mean | S.D. | Mean | S.D | ||
| r (1/day) | Viral growth rate | 1.69 | 0.48 | 1.83 | 0.46 | 1.60 | 0.47 |
| k (1/day) | Max killing rate | 4.18 | 0.46 | 4.11 | 0.56 | 3.68 | 0.66 |
| s (1/day) | Immune growth/activation rate | 0.17 | 0.01 | 0.52 | 0.02 | ||
| ϕ (gen/ml) | V req’d for 50% max activation | 25.2 | 9.67 | 23.6 | 7.67 | 11.2 | 3.90 |
| ψ | R/X req’d for 50% max killing | 0.37 | 0.01 | 3.78 | 0.22 | ||
| V0 (gen/ml) | Viral load at t = 0 | 0.10 | 0.08 | 0.10 | 0.08 | 0.10 | 0.04 |
| n | Hill exponent in killing term | 27.9 | 48.4 | 6.97 | 10.38 | ||
| m | Hill exponent in activation term | 3.67 | 9.22 | 1.62 | 0.16 | ||
| td (days) | Time before immune response | 2.90 | 0.26 | ||||