fundamentals of receptor pharmacology - week 4

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28 Terms

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What is pharmacodynamics, and how do receptors work?

Pharmacodynamics describes what a drug does to the body. Receptors recognise ligands (such as drugs) and convert binding into cellular responses. Signal amplification means a small number of activated receptors can produce a large effect.

Key terms:

  • Ligands: Substances that bind to receptors.

  • Cellular response: A change or reaction within a cell.

  • Signal amplification: When a small signal produces a much larger response.


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How do drugs bind to receptors, and what determines how long they stay bound?

Drug–receptor binding is usually reversible, meaning drugs can attach to and detach from receptors.

  • Binding occurs through forces such as ionic interactions, hydrogen bonding and van der Waals forces.

  • Covalent binding is generally less reversible.

  • Association = drug binds to receptor.

  • Dissociation = drug separates from receptor.

Key terms:

  • Ionic interactions: Attractions between oppositely charged particles.

  • Hydrogen bonding: A weak attraction involving hydrogen atoms.

  • Van der Waals forces: Weak attractions between molecules or atoms.

  • Covalent binding: Atoms are joined by sharing electrons.


<p>Drug–receptor binding is usually reversible, meaning drugs can attach to and detach from receptors.</p><ul><li><p>Binding occurs through forces such as ionic interactions, hydrogen bonding and van der Waals forces.</p></li><li><p>Covalent binding is generally less reversible.</p></li><li><p>Association = drug binds to receptor.</p></li><li><p>Dissociation = drug separates from receptor.<br></p></li></ul><p><span>Key terms:</span></p><ul><li><p>Ionic interactions: Attractions between oppositely charged particles.</p></li><li><p>Hydrogen bonding: A weak attraction involving hydrogen atoms.</p></li><li><p>Van der Waals forces: Weak attractions between molecules or atoms.</p></li><li><p>Covalent binding: Atoms are joined by sharing electrons.</p></li></ul><p></p>
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What is the law of mass action in drug–receptor binding?

Drug binding to receptors follows the law of mass action:

Ligand + Receptor ⇌ Ligand–Receptor Complex

  • Binding depends on the concentrations of ligands and receptors.

  • Increasing ligand concentration generally increases receptor occupancy.

  • At equilibrium, the rates of association and dissociation are equal.

  • A binding curve shows how many receptors are occupied, NOT the physiological effect.

Key terms:

  • Ligand: A substance that binds to a receptor.

  • Receptor occupancy: The proportion of receptors occupied by ligands.

  • Complex: The ligand and receptor joined together.

  • Equilibrium: A state where association and dissociation happen at equal rates.

  • Binding curve: A graph showing receptor occupancy as ligand concentration increases.


<p>Drug binding to receptors follows the law of mass action:</p><p>Ligand + Receptor ⇌ Ligand–Receptor Complex</p><ul><li><p>Binding depends on the concentrations of ligands and receptors.</p></li><li><p>Increasing ligand concentration generally increases receptor occupancy.</p></li><li><p>At equilibrium, the rates of association and dissociation are equal.</p></li><li><p>A binding curve shows how many receptors are occupied, NOT the physiological effect.<br></p></li></ul><p>Key terms:</p><ul><li><p>Ligand: A substance that binds to a receptor.</p></li><li><p>Receptor occupancy: The proportion of receptors occupied by ligands.</p></li><li><p>Complex: The ligand and receptor joined together.</p></li><li><p>Equilibrium: A state where association and dissociation happen at equal rates.</p></li><li><p><span>Binding curve: A graph showing receptor occupancy as ligand concentration increases.</span></p></li></ul><p></p>
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What are Kd and Ka, and how do they describe drug–receptor affinity?

  • Kd (dissociation constant): The ligand concentration needed to occupy 50% of receptors (for simple one-site binding).

  • A lower Kd = higher affinity, meaning the drug binds more strongly to the receptor.

  • Ka (association constant): The inverse of Kd (Ka = 1/Kd).

  • A higher Ka = higher affinity, meaning stronger binding

Key terms:

  • Kd: Measures how easily a drug–receptor complex dissociates.

  • Ka: Measures the tendency of a drug to associate with a receptor.

  • Affinity: How strongly a drug binds to a receptor.

  • Ligand: A substance that binds to a receptor.

  • Occupancy: The percentage of receptors occupied by a drug.

  • Equilibrium dissociation constant: A measure of the balance between bound and unbound drug at equilibrium.


<ul><li><p>Kd (dissociation constant): The ligand concentration needed to occupy 50% of receptors (for simple one-site binding).</p></li><li><p>A lower Kd = higher affinity, meaning the drug binds more strongly to the receptor.</p></li><li><p>Ka (association constant): The inverse of Kd (Ka = 1/Kd).</p></li><li><p>A higher Ka = higher affinity, meaning stronger binding<br></p></li></ul><p>Key terms:</p><ul><li><p>Kd: Measures how easily a drug–receptor complex dissociates.</p></li><li><p>Ka: Measures the tendency of a drug to associate with a receptor.</p></li><li><p>Affinity: How strongly a drug binds to a receptor.</p></li><li><p>Ligand: A substance that binds to a receptor.</p></li><li><p>Occupancy: The percentage of receptors occupied by a drug.</p></li><li><p>Equilibrium dissociation constant: A measure of the balance between bound and unbound drug at equilibrium.</p></li></ul><p></p>
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How is drug–receptor affinity measured using a radioligand binding assay?

A radioligand binding assay measures how much of a radioactive drug (ligand) binds to receptors on a cell's surface.

  • Bmax: The maximum number of receptors available for binding.

  • Kd: The ligand concentration needed to occupy 50% of receptors.

  • As drug concentration increases, receptor occupancy increases until receptors become saturated (all available binding sites are occupied).

  • The assay can estimate both Bmax and Kd.


Key terms:

  • Radioligand: A ligand labelled with a radioactive substance so it can be detected.

  • Radioligand binding assay: A test used to measure how much drug binds to receptors.

  • Bmax: Maximum receptor binding capacity.

  • Kd: Dissociation constant; helps measure drug–receptor affinity.

  • Receptor occupancy: The percentage of receptors occupied by a drug.

  • Saturated: When all available receptor binding sites are occupied.


<p>A radioligand binding assay measures how much of a radioactive drug (ligand) binds to receptors on a cell's surface.</p><ul><li><p>Bmax: The maximum number of receptors available for binding.</p></li><li><p>Kd: The ligand concentration needed to occupy 50% of receptors.</p></li><li><p>As drug concentration increases, receptor occupancy increases until receptors become saturated (all available binding sites are occupied).</p></li><li><p>The assay can estimate both Bmax and Kd.</p></li></ul><p></p><p>Key terms:</p><ul><li><p>Radioligand: A ligand labelled with a radioactive substance so it can be detected.</p></li><li><p>Radioligand binding assay: A test used to measure how much drug binds to receptors.</p></li><li><p>Bmax: Maximum receptor binding capacity.</p></li><li><p>Kd: Dissociation constant; helps measure drug–receptor affinity.</p></li><li><p>Receptor occupancy: The percentage of receptors occupied by a drug.</p></li><li><p>Saturated: When all available receptor binding sites are occupied.</p></li></ul><p></p>
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How does the shape of a drug–receptor binding curve change on linear vs semi-log concentration axes?

  • Linear concentration axis: Binding produces a hyperbolic (curved) shape.

  • Log concentration axis: The same data produces a sigmoidal (S-shaped) curve.

  • Kd: Corresponds to 50% receptor occupancy, NOT 50% clinical response.


Key terms:

  • Linear axis: Concentrations increase by equal amounts (e.g. 1, 2, 3, 4).

  • Semi-log axis: Concentration is plotted on a logarithmic scale (e.g. 1, 10, 100, 1000).

  • Hyperbolic: A curve that rises quickly then gradually levels off.

  • Sigmoidal: An S-shaped curve.

  • Receptor occupancy: The percentage of receptors occupied by a drug.

  • Kd: The concentration of ligand needed to occupy 50% of receptors.

  • Plateau: The point where binding stops increasing significantly because receptors are saturated.


<ul><li><p>Linear concentration axis: Binding produces a hyperbolic (curved) shape.</p></li><li><p>Log concentration axis: The same data produces a sigmoidal (S-shaped) curve.</p></li><li><p>Kd: Corresponds to 50% receptor occupancy, NOT 50% clinical response.</p></li></ul><p></p><p>Key terms:</p><ul><li><p>Linear axis: Concentrations increase by equal amounts (e.g. 1, 2, 3, 4).</p></li><li><p>Semi-log axis: Concentration is plotted on a logarithmic scale (e.g. 1, 10, 100, 1000).</p></li><li><p>Hyperbolic: A curve that rises quickly then gradually levels off.</p></li><li><p>Sigmoidal: An S-shaped curve.</p></li><li><p>Receptor occupancy: The percentage of receptors occupied by a drug.</p></li><li><p>Kd: The concentration of ligand needed to occupy 50% of receptors.</p></li><li><p>Plateau: The point where binding stops increasing significantly because receptors are saturated.<br></p></li></ul><p></p>
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Affinity: interpreting shifted binding curves

  • A left-shifted binding curve corresponds to
    lower Kd and higher affinity.

  • A right-shifted binding curve corresponds to
    higher Kd and lower affinity.

  • Do not conclude that higher affinity always
    means greater maximum clinical effect.



<ul><li><p><span style="font-size: calc(var(--scale-factor)*18.98px);">A left-shifted binding curve corresponds to</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">lower Kd and higher affinity.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">A right-shifted binding curve corresponds to</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">higher Kd and lower affinity.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">Do not conclude that higher affinity always</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">means greater maximum clinical effect.</span></p></li></ul><p><br></p>
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Binding is not activation

  • Affinity describes binding, while efficacy
    refers to activation and resultant response.

  • A neutral antagonist may bind strongly but
    have no activating effect.

  • An agonist binds and then activates receptor
    signalling.



<ul><li><p><span style="font-size: calc(var(--scale-factor)*18.98px);">Affinity describes binding, while efficacy</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">refers to activation and resultant response.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">A neutral antagonist may bind strongly but</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">have no activating effect.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">An agonist binds and then activates receptor</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">signalling.</span></p></li></ul><p><br></p>
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Agonists have affinity and efficacy

  • A full agonist can elicit a maximal system
    response.

  • A partial agonist has lower maximal
    response in the same receptor system.

  • Do not mistake a lower-dose drug for a
    stronger maximum response.


<ul><li><p><span>A full agonist can elicit a maximal system<br>response.</span></p></li><li><p><span>A partial agonist has lower maximal<br>response in the same receptor system.</span></p></li><li><p><span>Do not mistake a lower-dose drug for a<br>stronger maximum response.</span></p></li></ul><p></p>
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Reading a concentration–response curve

  • X-axis: concentration (often plotted
    logarithmically).

  • Y-axis: effect / response, usually as a
    percentage of reference maximum.

  • The plateau represents Emax; the midpoint
    helps identify EC50.


<ul><li><p><span>X-axis: concentration (often plotted<br>logarithmically).</span></p></li><li><p><span>Y-axis: effect / response, usually as a<br>percentage of reference maximum.</span></p></li><li><p><span>The plateau represents Emax; the midpoint<br>helps identify EC50.</span></p></li></ul><p></p>
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Why response curves matter

  • Compare maximum responses (efficacy).

  • Compare concentrations needed for a
    chosen response (potency).

  • Identify biological variation, safety limits and
    unusual antagonism patterns.



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Emax vs EC50: avoid mixing them up

  • Emax is the largest measured effect under
    specified conditions.

  • EC50 is the concentration producing 50% of
    that drug’s maximal response.

  • Smaller EC50 = greater potency when
    comparing curves under comparable
    conditions


<ul><li><p><span>Emax is the largest measured effect under<br>specified conditions.</span></p></li><li><p><span>EC50 is the concentration producing 50% of<br>that drug’s maximal response.</span></p></li><li><p><span>Smaller EC50 = greater potency when<br>comparing curves under comparable<br>conditions</span></p></li></ul><p></p>
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Efficacy: how high does the response go?

  • Efficacy is compared using the maximum
    response in the same test system.

  • A partial agonist has a lower maximum than
    a full agonist acting at the same receptor.

  • Low Emax does not, by itself, imply low
    affinity.


<ul><li><p><span style="font-size: calc(var(--scale-factor)*18.98px);">Efficacy is compared using the maximum</span><br><span style="font-size: calc(var(--scale-factor)*18.96px);">response in the same test system.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">A partial agonist has a lower maximum than</span><br><span style="font-size: calc(var(--scale-factor)*18.96px);">a full agonist acting at the same receptor.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">Low Emax does not, by itself, imply low</span><br><span style="font-size: calc(var(--scale-factor)*18.96px);">affinity.</span></p></li></ul><p></p>
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Full agonists versus partial agonists

  • Full agonist: produces the full maximal
    response available in the system.

  • Partial agonist: produces a smaller maximal
    response, even at saturating concentrations.

  • Receptor reserve and downstream signalling
    may influence apparent maxima.



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Potency: how far left does the curve lie?

  • Potency is related to the concentration or
    dose needed for a specified response.

  • Lower EC50 means higher concentration-
    based potency.

  • Comparing Emax and EC50 requires the
    same assay conditions and response
    definition.




<ul><li><p><span style="font-size: calc(var(--scale-factor)*18.98px);">Potency is related to the concentration or</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">dose needed for a specified response.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">Lower EC50 means higher concentration-</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">based potency.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">Comparing Emax and EC50 requires the</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">same assay conditions and response</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">definition.</span></p><p><br></p></li></ul><p></p>
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Why potency is not affinity alone

  • Drug response depends on affinity, intrinsic
    efficacy, receptor density and signal
    amplification.

  • EC50 and Kd need not be equal.

  • Higher potency does not necessarily imply
    better clinical treatment.



<ul><li><p><span style="font-size: calc(var(--scale-factor)*18.98px);">Drug response depends on affinity, intrinsic</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">efficacy, receptor density and signal</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">amplification.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">EC50 and Kd need not be equal.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">Higher potency does not necessarily imply</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">better clinical treatment.</span></p></li></ul><p><br></p>
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Spare receptors

  • occupancy ≠ response

  • Some systems achieve maximal response
    without occupying all receptors.

  • Signal amplification can make EC50
    substantially lower than Kd.

  • Spare receptors help explain why response
    curves differ from binding curves.




<ul><li><p><span>occupancy ≠ response</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.98px);">Some systems achieve maximal response</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">without occupying all receptors.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">Signal amplification can make EC50</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">substantially lower than Kd.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">Spare receptors help explain why response</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">curves differ from binding curves.</span></p><p><br></p></li></ul><p></p>
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In vitro concentration versus in vivo dose

  • Laboratory assays often examine
    concentration–response relationships.

  • Patient studies relate administered dose to
    benefit or toxicity.

  • ED50 may refer to 50% of a graded
    maximum, or 50% of individuals in a quantal
    response — define which one is used.



<ul><li><p><span style="font-size: calc(var(--scale-factor)*18.98px);">Laboratory assays often examine</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">concentration–response relationships.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">Patient studies relate administered dose to</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">benefit or toxicity.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">ED50 may refer to 50% of a graded</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">maximum, or 50% of individuals in a quantal</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">response — define which one is used.</span></p></li></ul><p><br></p>
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Therapeutic index: a population measure

  • Therapeutic index in a quantal model is TD50/ED50.

  • A smaller index may signal less separation
    between benefit and toxicity.

  • The index is a simplification; real prescribing
    also considers patient-specific variation and
    monitoring.



<ul><li><p><span style="font-size: calc(var(--scale-factor)*18.98px);">Therapeutic index in a quantal model is TD50</span><span style="font-size: calc(var(--scale-factor)*18.96px);">/ED50.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">A smaller index may signal less separation</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">between benefit and toxicity.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">The index is a simplification; real prescribing</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">also considers patient-specific variation and</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">monitoring.</span></p></li></ul><p><br></p>
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the therapeutic window

  • The therapeutic window describes the range
    of exposures/doses where benefit outweighs
    unacceptable toxicity.

  • A narrow window makes dosing, interactions
    and monitoring particularly important.

  • Do not interpret therapeutic index as a
    guarantee of safety for an individual.


<ul><li><p><span>The therapeutic window describes the range<br>of exposures/doses where benefit outweighs<br>unacceptable toxicity.</span></p></li><li><p><span>A narrow window makes dosing, interactions<br>and monitoring particularly important.</span></p></li><li><p><span>Do not interpret therapeutic index as a<br>guarantee of safety for an individual.</span></p></li></ul><p></p>
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Neutral antagonists: affinity without activation

  • Neutral antagonists occupy receptors
    without initiating the agonist’s signal.

  • They reduce the response an agonist can
    produce at a given concentration.

  • Site and reversibility determine the shape of
    the change in response curves.



<ul><li><p><span style="font-size: calc(var(--scale-factor)*18.98px);">Neutral antagonists occupy receptors</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">without initiating the agonist’s signal.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">They reduce the response an agonist can</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">produce at a given concentration.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">Site and reversibility determine the shape of</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">the change in response curves.</span></p></li></ul><p><br></p>
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Orthosteric versus allosteric sites

  • Orthosteric site: where the natural agonist
    binds.

  • Allosteric site: a distinct regulatory site on
    the receptor.

  • An allosteric antagonist can reduce receptor
    signalling without simply competing for the
    orthosteric site.




<ul><li><p><span style="font-size: calc(var(--scale-factor)*18.98px);">Orthosteric site: where the natural agonist</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">binds.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">Allosteric site: a distinct regulatory site on</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">the receptor.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">An allosteric antagonist can reduce receptor</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">signalling without simply competing for the</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">orthosteric site.</span></p><p><br></p></li></ul><p></p>
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Allosteric antagonism: another route

  • A negative allosteric modulator can reduce
    agonist affinity and/or efficacy.

  • Such effects cannot be understood as
    simple competition for the same binding
    site.

  • The original reference figure illustrates a
    distinct allosteric pocket.



<ul><li><p><span style="font-size: calc(var(--scale-factor)*18.98px);">A negative allosteric modulator can reduce</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">agonist affinity and/or efficacy.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">Such effects cannot be understood as</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">simple competition for the same binding</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.98px);">site.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">The original reference figure illustrates a</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">distinct allosteric pocket.</span></p></li></ul><p><br></p>
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Reversible competitive antagonists: surmountable

  • Agonist and antagonist compete for the
    same orthosteric site.

  • Increasing agonist concentration can
    overcome the antagonist under equilibrium
    conditions.

  • The maximum response can still be achieved
    if enough agonist is present.



<ul><li><p><span style="font-size: calc(var(--scale-factor)*18.98px);">Agonist and antagonist compete for the</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">same orthosteric site.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">Increasing agonist concentration can</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">overcome the antagonist under equilibrium</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.98px);">conditions.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">The maximum response can still be achieved</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">if enough agonist is present.</span></p></li></ul><p><br></p>
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Graph rule: reversible competitive antagonist

  • A reversible competitive antagonist produces a
    parallel rightward shift of the agonist curve in the
    classical model.

  • The agonist EC50 increases (apparent potency
    falls).

  • Emax remains unchanged if antagonism is fully
    surmountable


<ul><li><p><span>A reversible competitive antagonist produces a<br>parallel rightward shift of the agonist curve in the<br>classical model.</span></p></li><li><p><span>The agonist EC50 increases (apparent potency<br>falls).</span></p></li><li><p><span>Emax remains unchanged if antagonism is fully<br>surmountable</span></p></li></ul><p></p>
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Non-competitive antagonism: reduced maximum

  • Non-competitive antagonism can involve
    irreversible receptor inactivation or negative
    allosteric action.

  • Increasing agonist often cannot restore the
    previous maximum response.

  • A reduction in Emax is typical, but receptor
    reserve can affect the observed pattern


<ul><li><p><span>Non-competitive antagonism can involve<br>irreversible receptor inactivation or negative<br>allosteric action.</span></p></li><li><p><span>Increasing agonist often cannot restore the<br>previous maximum response.</span></p></li><li><p><span>A reduction in Emax is typical, but receptor<br>reserve can affect the observed pattern</span></p></li></ul><p></p>
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Inverse agonists: below basal activity

  • Some receptors signal even without added
    agonist (constitutive activity).

  • An inverse agonist reduces this basal
    receptor activity.

  • This differs from a neutral antagonist, which
    blocks agonist stimulation without lowering
    basal activity.



<ul><li><p><span style="font-size: calc(var(--scale-factor)*18.98px);">Some receptors signal even without added</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">agonist (constitutive activity).</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">An inverse agonist reduces this basal</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">receptor activity.</span></p></li><li><p><span style="font-size: calc(var(--scale-factor)*18.96px);">This differs from a neutral antagonist, which</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">blocks agonist stimulation without lowering</span><span><br></span><span style="font-size: calc(var(--scale-factor)*18.96px);">basal activity.</span></p></li></ul><p><br></p>
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