(
A) Maximum fold change allowed in the different mechanisms is shown with varying RAF concentrations ([RAF]) and dimerization dissociation rate constant (
Kdim). CA1 represents CA mechanism with
KA = 10 (10% of RAF is active at baseline and equilibrium) and CA2 represents CA mechanism with
KA = 100 (1% of RAF is active at baseline and equilibrium). Extremal values of parameters for DP and NC mechanisms are used to derive maximal respective PA in DP, NC, and unified models (
f = 10
–5, g = 100). Dashed vertical line shows a physiological estimate of RAF concentration (0.04 μM). The parameters f and g are set to 1 where the respective mechanism of DP, NC is not present. (
B) NC mechanism is shown within DP + NC sub-model. NC tweaks PA by extending the PA range of drug concentrations but has no impact on maximum fold change. (
C) Plot of normalized dose–response curves for nine RAF inhibitors based on the unified model with all 30 parameters varied fit to the available data (
Karoulia et al., 2016). The solid lines represent mean values and highlights represent the standard deviations. (
D) Parameter regions predicted when all 30 parameters of the unified model are varied, cover the same regions as in
Figure 3C, and distribute the different types of drugs in a similar fashion. However, the best-fit range of parameter values are much wider (on a log-10 scale) than in
Figure 3. For each drug, we show all obtained best-fit parameter sets that were within 10% of best-fit metric. (
E) With all parameters of the unified model varied, the best-fit correlations between
KA values and the RAF dimerization dissociation constant (
Kdim) are shown. Direct, monotonic correlation implies choosing
Kdim also specifies best-fit
KA.