View source: R/fit_MuSyC_score_by_dose.R
| generate_MuSyC_effects | R Documentation | 
Assume that the response metric decreases with more effective drugs Let E3 be the effect at the maximum concentration of both drugs
generate_MuSyC_effects(d1, d2, E0, s1, C1, E1, s2, C2, E2, alpha, E3)
| d1 | Dose of drug 1 | 
| d2 | Dose of drug 2 | 
| E0 | effect with no drug treatment # params for drug 1 by it self | 
| s1 | drug 1 hill slope | 
| C1 | drug 1 EC50 | 
| E1 | drug 1 maximum effect # params for drug 2 by it self | 
| s2 | drug 2 hill slope | 
| C2 | drug 2 EC50 | 
| E2 | drug 2 maximum effect | 
| beta | synergistic efficacy percent increase in a drug combination’s effect beyond the most efficacious single drug. beta > 0 => synergistic efficacy the effect at the maximum concentration of both drugs (E3) exceeds the maximum effect of either drug alone (E1 or E2) beta < 0 => antagonistic efficacy at least one or both drugs are more efficacious as single agents than in combination | 
| alpha1 | synergistic potency how the effective dose of drug 1 is altered by the presence of drug 2 | 
| alpha2 | synergistic potency how the effective dose of drug 2 is altered by the presence of drug 1 alpha > 1 => synergistic potency the EC50 decreases because of the addition of the other drug, corresponding to an increase in potency 0 <= alpha < 1 => antagonistic potency the EC50 of the drug increases as a result of the other drug, corresponding to a decrease in potency alpha1 == alpha2 if detailed balance | 
Special cases: * dose additive model: alpha1 = alpha2 = 0 * loewe: h1 = h2 = 1 * CI: E0 = 1, E1 = E2 = E3 = 0 the drug effect is equated with percent inhibition * bliss drug independence model: E0 = 1, E1 = E2 = E3 = 0, alpha1 = alpha2 = 1
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.