generate_MuSyC_effects: Drug Synergy MuSyC Drug Synergy model

View source: R/fit_MuSyC_score_by_dose.R

generate_MuSyC_effectsR Documentation

Drug Synergy MuSyC Drug Synergy model

Description

Assume that the response metric decreases with more effective drugs Let E3 be the effect at the maximum concentration of both drugs

Usage

generate_MuSyC_effects(d1, d2, E0, s1, C1, E1, s2, C2, E2, alpha, E3)

Arguments

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

Details

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


momeara/MPStats documentation built on July 19, 2022, 3:34 p.m.