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
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