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Drug-receptor binding saturation
Binding of a drug to its receptor is saturable because there is a finite number of receptors in the tissue
Assumption 1 of law of mass
The amount of free drug added to a system is the same as the total amount of drug because it is only a negligible amount
Equation use (Kd=[D]([Rt]-[DR])/[DR]
used to know the binding affinity for a drug
Receptor concentration estimation
total number of receptors (Rt) minus [DR]
Plotting binding curve
Because [D] changes in small quantities, plot log[D] against r (fractional receptor occupancy) to get a sigmoidal curve
Sigmoidal curve linearity
The curve is approximately linear between 20-80% fractional occupancy
Complex drug-receptor interactions
Some receptors bind two drug molecules at once (e.g. nicotinic receptors)
Affinity states
Some receptors convert between high and low affinity forms
Modified binding equation
nD + R <=> DnR
Modified binding relationship
r = [D]^n / ([D]^n + Kd)
Hill plot meaning
Used to calculate the slope (n), representing cooperativity
Hill coefficient (n) > 1
Positive cooperativity
Hill coefficient (n) < 1
Negative cooperativity
Hill coefficient (n) = 1
Simple (non-cooperative) interaction
Occupation theory definition
Number of receptors occupied = effect of receptor [E]
Occupation theory assumption
Despite increasing [D], once all receptors are bound, there will be a maximum effect [E]
Occupation theory curve
Plotting [E]/Emax against drug concentration gives a sigmoidal curve
Occupation theory midpoint
1/2 of [E]/Emax gives Kd (EC50 = Kd)
Fractional response relationship
Graph of fractional response vs. drug concentration has same shape as fractional occupancy vs. drug concentration
pD2 definition
Negative log of agonist concentration that gives half-maximal response
pD2 purpose
Quantifies the affinity of an agonist for its receptor
pD2 positivity
pD2 is always positive; e.g. pD2 of 1.0×10⁻⁸ = 8
High pD2 meaning
Drugs with high pD2 values act at low concentrations
pD2 formula
pD2 = -log(Kd) or -log(EC50)