Antagonists and dose-response curves L3 Flashcards
What is an antagonist and give example
An antagonist is a drug which blocks the response to an agonist.
e.g. terfenadine at the H1 receptor
Pure antagonists do not by themselves cause any action by binding to the receptor.
what are the stages of antagonist process and give an example
- binds to receptor forming antagonist-receptor complex
- propranolol binds to B adrenoceptors - effect
- decrease in blood pressure
- blocks the natural activity of the receptor when it is bound with ligand
what are the 3 classes of antagonists
- chemical
- binding of chelating agents to inactivate drug
-protamine binds (sequesters) heparin - physiological
- two agents with opposite effects cancel each other out
- glucocorticoids and insulin
3.pharmalogical
-Binds to receptor and blocks the normal action of an agonist on receptor responses
what kind of antagonists are chemical and physiological
nonreceptor antagonists
what kind of antagonists is Pharmacological
receptor antagonist
what are the two types of binding that pharmacological antagonists can do
- active site binding
- allosteric binding
describe the two types of active binding
- reversable
- competitive antagonist
- binds to active site and is overcome by increasing substrate concentration - irreversible
- non competitive antagonist
- Binds and forms irreversible covalent bonds with receptor
describe the two types of allosteric binding
- reversible
- irreversible
both non-competitive antagonists
bind away from active site
what effect do antagonists have on efficacy
results in no efficacy between receptor and agonist
the active agonist-receptor complex does not exist
AGONIST (A) + RECEPTOR (R) = AR COMPLEX = ACTION
ANTAGONIST (D) + RECEPTOR (R) = DR COMPLEX = NO ACTION
what effect does competitive antagonist have on agonist-response curve
Causes parallel shift to right of the agonist-response curve
- same Emax value reached
- EC50 increased as more agonist needed to reach Emax
- Agonist curves have the same form
what is the dose ratio
indicates the fold increase of the agonist needed to achieve the same response at a given concentration of antagonist.
how is dose ratio calculated
agonist + antagonist EC50/ agonist EC50
what is the Schild Plot
allows to quantify the potency of a competitive antagonist and to test whether the blockade of response by a molecule is consistent with simple competitive antagonism.
should have a gradient of 1
what is schild equation
r -1 = [B]/ Kb
r = dose ratio
B = antagonist conc
Kb = antagonist dissociation constant
what does the X intercept show on schild’s plot
shows log of Kb so allows us to quantify dissociation constant of antagonist
what are pA2 values
Describes the activity of a receptor antagonist in simple numbers.
the negative logarithm of the molar concentration of antagonist required to produce an agonist dose ratio equal to 2
How much antagonist do you need to add to achieve 2x the amount of agonist to overcome it
what is the pA2 equations
pA2 = - log Kb
Only if relationship is linear and slope of Schild plot = 1
i.e. only if a competitive antagonist.
what does the extent of antagonist inhibition depend on
concentration of the competing agonist and antagonist’s concentration
what effect do irreversible antagonists have on agonist-response curve
lowers Emax
Agonist curves do not have the same form
antagonist binds irreversibly with the receptor
gives rise to antagonism which cannot be overcome by an increased concentration of agonist
increases EC50
Curve shifts to right
competitive antagonists are much more common than irreversible
give examples of both
competitive
- cimetidine at the H2 receptor
- tamoxifen at the oestrogen receptor
irreversible
- phenoxybenzamine at the a1 adrenoceptor
what are the effects of non-competitive antagonists
as they dont bind to active site, they block signal transduction events therefore reduces maximal effect and increases EC50
what is the therapeutic window
risk to benefit ratio (TI)
how is therapeutic window calculated
(TI) = TD50/ED50 or LD50/ED50
Concentration needed to get half the therapeutic response compared to half unwanted affects
give example of large and small TI
large is better as bigger window of benefit before toix
- penicillin
small: Warfarin