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Drug-Receptor Interaction: Pharmacodynamics & Dose-Response

Master pharmacodynamics: Learn about receptor theory, graded vs quantal dose-response curves, potency, efficacy, and therapeutic index calculation.

#pharmacology#pharmacodynamics#dose-response-curve#receptor-theory#agonists-antagonists#medical-education#drug-efficacy
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Quantitation of Drug-Receptor Interaction

& Elicited Effects

Pharmacodynamics | Receptor Theory | Dose-Response Relationships

Department of Pharmacology
Medical/Pharmacy Students
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Lecture Outline

1. Introduction to Drug-Receptor Theory
2. Receptor Occupancy & Binding
3. Graded Dose-Response Curves
4. Quantal Dose-Response Curves
5. Efficacy, Potency & Affinity
6. Agonists, Antagonists & Partial Agonists
7. Therapeutic & Toxic Ratios
8. Clinical Relevance
PHASE 01 PHASE 02 PHASE 03 PHASE 04 PHASE 05 PHASE 06 PHASE 07 PHASE 08
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Introduction to Drug-Receptor Theory

  • A receptor is a macromolecule (protein) that specifically binds a drug/ligand
  • Binding triggers a biological response (signal transduction)
  • Receptors can be membrane-bound, nuclear, or intracellular
  • Most drugs act by binding to specific receptors — "lock and key" model

"The receptor is the structural protein that senses the drug signal and converts it to a biological response."

Drug (Ligand)
Receptor
Cell Membrane
Second Messenger
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Receptor Occupancy Theory

The Clark Model (1926)

  • Effect is proportional to the fraction of receptors occupied by drug
  • D + R ⇌ DR → Effect
  • At maximum effect, all receptors are occupied

Occupancy Formula

Fractional Occupancy = [D] / (Kd + [D])
[D] = drug concentration  |  Kd = dissociation constant
100% 75% 50% 25% 0% Kd, 50% Bmax Kd Receptor Occupancy (%) Log Drug Concentration [D]
Department of Pharmacology
Medical / Pharmacy Students
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Graded Dose-Response Curves

Definition

  • Measures the magnitude of response in a single subject/tissue
  • Response increases gradually with increasing dose
  • Plotted as: Effect (%) on Y-axis vs Log [Drug Dose] on X-axis
  • Produces a characteristic S-shaped (sigmoidal) curve

Key Parameters from the Curve

  • Emax Maximum possible effect
  • EC50 Concentration producing 50% of Emax
  • Slope Steepness of the dose-response curve
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Quantal Dose-Response Curves

Definition

  • Measures the proportion of a population that responds to a given dose
  • All-or-nothing response (responds or does not respond)
  • Plotted as: % Population Responding vs Log Dose
  • Results in a cumulative S-shaped curve

Key Statistical Parameters

  • ED50 — Dose effective in 50% of population
  • TD50 — Dose toxic in 50% of population
  • LD50 — Lethal dose in 50% of population
  • These parameters are derived from the quantal DRC
Quantal Dose-Response Curves
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Potency & Efficacy

Potency

The amount of drug needed to produce a given effect. Measured by EC50 — lower EC50 = higher potency.

Drug A (EC50=1mg) is MORE potent than Drug B (EC50=10mg)

Note Potency ≠ Safety

Efficacy (Emax)

The maximum effect a drug can produce regardless of dose. Intrinsic property of the drug-receptor interaction.

A drug with higher Emax has greater intrinsic efficacy

Note Efficacy is clinically more important than potency

Affinity (Kd)

The strength of binding between drug and receptor. Low Kd = High affinity = strong binding.

Kd = [D][R] / [DR]

Note Inversely related to Kd value

100% Emax (A, B) ~60% Emax (C) 0% Response (% of Max) Log [Drug Concentration] Drug A Drug B Drug C EC50 A EC50 B EC50 C Decreasing Potency Lower Emax
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Agonists & Antagonists

AGONISTS

Full Agonist

Binds receptor and produces MAXIMUM response.

High intrinsic efficacy (α=1)

Example: Morphine, Adrenaline

Partial Agonist

Binds receptor but produces SUBMAXIMAL response.

Intermediate intrinsic efficacy (0<α<1)

Example: Buprenorphine

Inverse Agonist

Binds receptor and produces OPPOSITE effect.

Negative intrinsic efficacy (α<0)

Example: β-carbolines

ANTAGONISTS

Competitive Antagonist

Competes with agonist for same receptor site.
Effect REVERSIBLE by increasing agonist concentration.
Shifts DRC to the right (parallel shift).

Example: Atropine, Naloxone

Response Log Dose

Non-competitive Antagonist

Binds irreversibly or at allosteric site.
DEPRESSES Emax. Cannot be overcome by increasing agonist.

Example: Phenoxybenzamine

Response Log Dose
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Competitive vs Non-Competitive Antagonism

Competitive Antagonism

  • Antagonist competes with agonist at SAME binding site
  • Effect overcome by increasing agonist dose
  • Parallel RIGHTWARD shift of dose-response curve
  • Emax is UNCHANGED
  • Example: Atropine blocking muscarinic receptors
Competitive Antagonism Graph
Emax Preserved

Non-Competitive Antagonism

  • Antagonist binds DIFFERENT site (allosteric) or irreversibly
  • Effect CANNOT be overcome by increasing agonist
  • Curve shifts: Emax is REDUCED/DEPRESSED
  • EC50 may be unchanged
  • Example: Phenoxybenzamine (alpha blockers)
Non-Competitive Antagonism Graph
Emax Reduced
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Therapeutic Index & Safety Ratios

Therapeutic Index (TI)

A measure of drug safety — ratio of toxic dose to effective dose.

TI = TD50 / ED50
(or in animal studies: TI = LD50 / ED50)

Higher TI = Safer drug (wider margin between effective and toxic doses)

Certain Safety Factor (CSF)

CSF = TD1 / ED99

More conservative — uses the lowest toxic dose vs highest effective dose

Therapeutic Window

Range of doses between minimum effective concentration (MEC) and minimum toxic concentration (MTC). Drug must stay within this range for optimal therapy.

Dose (log scale)
Toxic Zone
TD50
Minimum Toxic Concentration (MTC)
Therapeutic
Window
ED50
Minimum Effective Concentration (MEC)
Sub-therapeutic
TI
Pharmacology Fundamentals
Pharmacokinetics & Dynamics
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Spare Receptors & Receptor Reserve

Concept of Spare Receptors

  • Maximum effect can be achieved even when only a FRACTION of receptors are occupied
  • Remaining unoccupied receptors are called "spare receptors" or "receptor reserve"
  • First demonstrated by Stephenson (1956)
  • Spare receptors increase sensitivity to agonist (leftward shift of DRC)

Implications

  • EC50 < Kd (EC50 is lower than dissociation constant)
  • Even if some receptors are blocked, full response may still occur
  • Tissues with more spare receptors are more sensitive to agonists
  • Important in understanding tolerance and drug resistance
Total Receptors (100%)
10%
90%
Receptors needed
for Emax
Spare Receptors
100% 50% 0% % Maximal Response Log [Agonist] EC50 Effect Kd Occupancy EC50 < Kd
Department of Pharmacology
Medical/Pharmacy Students
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Signal Transduction & Downstream Effects

Ion Channel-Linked Receptors

Direct ion flow on binding.

Speed: Fast response (milliseconds)
Example: nAChR, GABA-A
Effect: Membrane depolarization / hyperpolarization

G-Protein Coupled Receptors (GPCRs)

Most common receptor type. Coupled to second messengers (cAMP, IP3, DAG).

Speed: Moderate speed (seconds)
Example: Adrenergic, muscarinic receptors
Effect: Activation of downstream paths

Enzyme-Linked Receptors

Tyrosine kinase activity on binding.

Speed: Slower response (minutes-hours)
Example: Insulin receptor, growth factor receptors
Effect: Gene expression changes
Pathway Overview
Drug
Receptor Binding
Signal Transduction
Second Messenger
Effector Protein
Biological Effect
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Drug Tolerance & Desensitization

Tolerance

  • Decreased response to a drug over time with repeated exposure
  • Requires increasing doses to achieve the same effect
  • Types: Pharmacokinetic (metabolic), Pharmacodynamic (receptor-level)
  • Example: Opioid tolerance, alcohol tolerance, nitrate tolerance

Receptor Desensitization

  • Loss of receptor responsiveness despite continued drug presence
  • Mechanisms: receptor phosphorylation, internalization, uncoupling from G-protein
  • Tachyphylaxis: rapid onset desensitization
  • Example: Beta-adrenergic receptor desensitization with prolonged β-agonist use
Chart
Receptor Internalization
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Key Takeaways

1
🔬 Drug effects are quantified through dose-response relationships
2
📈 Graded DRCs measure magnitude; Quantal DRCs measure population response
3
🎯 EC50 reflects potency; Emax reflects efficacy
4
⚖️ Therapeutic Index = TD50/ED50 — key safety measure
5
🔗 Competitive antagonism shifts DRC right; non-competitive reduces Emax
6
💊 Spare receptors allow maximal effect with partial receptor occupancy
7
🔄 Tolerance/desensitization reduce drug response over time
8
🧬 Signal transduction links receptor binding to biological effects
Understanding receptor quantitation is fundamental to rational drug design and clinical pharmacotherapy.
Department of Pharmacology
Thank You
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Drug-Receptor Interaction: Pharmacodynamics & Dose-Response

Master pharmacodynamics: Learn about receptor theory, graded vs quantal dose-response curves, potency, efficacy, and therapeutic index calculation.

Quantitation of Drug-Receptor Interaction

& Elicited Effects

Pharmacodynamics | Receptor Theory | Dose-Response Relationships

Department of Pharmacology

Medical/Pharmacy Students

Lecture Outline

1

Introduction to Drug-Receptor Theory

2

Receptor Occupancy & Binding

3

Graded Dose-Response Curves

4

Quantal Dose-Response Curves

5

Efficacy, Potency & Affinity

6

Agonists, Antagonists & Partial Agonists

7

Therapeutic & Toxic Ratios

8

Clinical Relevance

Introduction to Drug-Receptor Theory

A receptor is a macromolecule (protein) that specifically binds a drug/ligand

Binding triggers a biological response (signal transduction)

Receptors can be membrane-bound, nuclear, or intracellular

Most drugs act by binding to specific receptors — "lock and key" model

"The receptor is the structural protein that senses the drug signal and converts it to a biological response."

Drug (Ligand)

Receptor

Cell Membrane

Second Messenger

Receptor Occupancy Theory

The Clark Model (1926)

Effect is proportional to the fraction of receptors occupied by drug

D + R ⇌ DR → Effect

At maximum effect, all receptors are occupied

Occupancy Formula

Fractional Occupancy = [D] / (Kd + [D])

drug concentration

dissociation constant

Department of Pharmacology

Medical / Pharmacy Students

Graded Dose-Response Curves

Definition

Measures the magnitude of response in a single subject/tissue

Response increases gradually with increasing dose

Plotted as: Effect (%) on Y-axis vs Log [Drug Dose] on X-axis

Produces a characteristic S-shaped (sigmoidal) curve

Key Parameters from the Curve

Emax

Maximum possible effect

EC50

Concentration producing 50% of Emax

Slope

Steepness of the dose-response curve

Quantal Dose-Response Curves

Definition

Measures the proportion of a population that responds to a given dose

All-or-nothing response (responds or does not respond)

Plotted as: % Population Responding vs Log Dose

Results in a cumulative S-shaped curve

Key Statistical Parameters

ED50 — Dose effective in 50% of population

TD50 — Dose toxic in 50% of population

LD50 — Lethal dose in 50% of population

These parameters are derived from the quantal DRC

Potency & Efficacy

Potency

The amount of drug needed to produce a given effect. Measured by EC<sub style="font-size: 0.7em;">50</sub> &mdash; lower EC<sub style="font-size: 0.7em;">50</sub> = higher potency.

Drug A (EC<sub style="font-size: 0.7em;">50</sub>=1mg) is MORE potent than Drug B (EC<sub style="font-size: 0.7em;">50</sub>=10mg)

Potency &ne; Safety

Efficacy (E<sub style="font-size: 0.7em;">max</sub>)

The maximum effect a drug can produce regardless of dose. Intrinsic property of the drug-receptor interaction.

A drug with higher E<sub style="font-size: 0.7em;">max</sub> has greater intrinsic efficacy

Efficacy is clinically more important than potency

Affinity (K<sub style="font-size: 0.7em;">d</sub>)

The strength of binding between drug and receptor. Low K<sub style="font-size: 0.7em;">d</sub> = High affinity = strong binding.

K<sub style="font-size: 0.7em;">d</sub> = [D][R] / [DR]

Inversely related to K<sub style="font-size: 0.7em;">d</sub> value

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<svg width="34" height="34" viewBox="0 0 24 24" fill="none" stroke="#C9A84C" stroke-width="2.5" stroke-linecap="round" stroke-linejoin="round"><line x1="12" y1="20" x2="12" y2="10"></line><line x1="18" y1="20" x2="18" y2="4"></line><line x1="6" y1="20" x2="6" y2="16"></line></svg>

<svg width="34" height="34" viewBox="0 0 24 24" fill="none" stroke="#C9A84C" stroke-width="2.5" stroke-linecap="round" stroke-linejoin="round"><circle cx="18" cy="18" r="3"></circle><circle cx="6" cy="6" r="3"></circle><path d="M15.88 15.88L8.12 8.12"></path><circle cx="18" cy="6" r="3"></circle><path d="M18 15v-6"></path></svg>

<svg width="1140" height="420" viewBox="0 0 1140 420" style="overflow: visible; font-family: system-ui, -apple-system, sans-serif;"> <defs> <filter id="glowA" x="-20%" y="-20%" width="140%" height="140%"> <feGaussianBlur stdDeviation="4" result="blur" /> <feComposite in="SourceGraphic" in2="blur" operator="over" /> </filter> </defs> <!-- Grid lines --> <path d="M 120 255 L 1020 255" stroke="#889AAB" stroke-width="1" stroke-dasharray="3 5" opacity="0.15" /> <path d="M 120 190 L 1020 190" stroke="#889AAB" stroke-width="1" stroke-dasharray="3 5" opacity="0.15" /> <path d="M 120 125 L 1020 125" stroke="#889AAB" stroke-width="1" stroke-dasharray="3 5" opacity="0.15" /> <!-- Emax Lines --> <path d="M 120 60 L 1020 60" stroke="#889AAB" stroke-width="2" stroke-dasharray="8 6" opacity="0.4" /> <text x="100" y="65" text-anchor="end" fill="#889AAB" font-size="16" font-weight="600">100%</text> <text x="1035" y="65" text-anchor="start" fill="#889AAB" font-size="18" font-style="italic">E<tspan baseline-shift="sub" font-size="14">max</tspan> (A, B)</text> <path d="M 120 160 L 1020 160" stroke="#E57373" stroke-width="2" stroke-dasharray="8 6" opacity="0.6" /> <text x="100" y="165" text-anchor="end" fill="#E57373" font-size="16" font-weight="600">~60%</text> <text x="1035" y="165" text-anchor="start" fill="#E57373" font-size="18" font-style="italic">E<tspan baseline-shift="sub" font-size="14">max</tspan> (C)</text> <!-- Axes --> <path d="M 120 40 L 120 320 L 1040 320" stroke="#889AAB" stroke-width="3" fill="none" stroke-linecap="round" stroke-linejoin="round" /> <text x="100" y="325" text-anchor="end" fill="#889AAB" font-size="16" font-weight="600">0%</text> <text x="-180" y="50" transform="rotate(-90)" fill="#889AAB" font-size="18" font-weight="600" letter-spacing="1px" text-anchor="middle">Response (% of Max)</text> <text x="580" y="380" text-anchor="middle" fill="#889AAB" font-size="18" font-weight="600" letter-spacing="1px">Log [Drug Concentration]</text> <!-- Sigmoidal Curves --> <!-- Drug A: Gold --> <path d="M 120 320 L 180 320 C 300 320, 300 60, 420 60 L 1020 60" stroke="#C9A84C" stroke-width="5" fill="none" stroke-linecap="round" filter="url(#glowA)" /> <!-- Drug B: Teal --> <path d="M 120 320 L 380 320 C 500 320, 500 60, 620 60 L 1020 60" stroke="#7EC8E3" stroke-width="5" fill="none" stroke-linecap="round" /> <!-- Drug C: Red/Coral --> <path d="M 120 320 L 280 320 C 400 320, 400 160, 520 160 L 1020 160" stroke="#E57373" stroke-width="5" fill="none" stroke-linecap="round" /> <!-- Curve Labels --> <text x="330" y="45" text-anchor="middle" fill="#C9A84C" font-size="22" font-weight="800">Drug A</text> <text x="730" y="45" text-anchor="middle" fill="#7EC8E3" font-size="22" font-weight="800">Drug B</text> <text x="630" y="145" text-anchor="middle" fill="#E57373" font-size="22" font-weight="800">Drug C</text> <!-- EC50 Vertical Drop Lines --> <!-- Drug A --> <path d="M 300 190 L 300 320" stroke="#C9A84C" stroke-width="2" stroke-dasharray="5 5" fill="none" /> <text x="300" y="345" text-anchor="middle" fill="#C9A84C" font-size="18" font-weight="600">EC<tspan baseline-shift="sub" font-size="14">50</tspan> A</text> <circle cx="300" cy="190" r="5.5" fill="#152C50" stroke="#C9A84C" stroke-width="3" /> <!-- Drug B --> <path d="M 500 190 L 500 320" stroke="#7EC8E3" stroke-width="2" stroke-dasharray="5 5" fill="none" /> <text x="500" y="345" text-anchor="middle" fill="#7EC8E3" font-size="18" font-weight="600">EC<tspan baseline-shift="sub" font-size="14">50</tspan> B</text> <circle cx="500" cy="190" r="5.5" fill="#152C50" stroke="#7EC8E3" stroke-width="3" /> <!-- Drug C --> <path d="M 400 240 L 400 320" stroke="#E57373" stroke-width="2" stroke-dasharray="5 5" fill="none" /> <text x="400" y="345" text-anchor="middle" fill="#E57373" font-size="18" font-weight="600">EC<tspan baseline-shift="sub" font-size="14">50</tspan> C</text> <circle cx="400" cy="240" r="5.5" fill="#152C50" stroke="#E57373" stroke-width="3" /> <!-- Annotation Arrows --> <!-- Potency Difference (A to B) --> <g stroke="#A0AAB5" stroke-width="2" fill="none"> <path d="M 315 260 L 485 260" stroke-dasharray="2 4" /> <path d="M 475 253 L 485 260 L 475 267" stroke-dasharray="0" stroke-linecap="round" stroke-linejoin="round" /> </g> <text x="400" y="250" text-anchor="middle" fill="#A0AAB5" font-size="15" font-style="italic">Decreasing Potency</text> <!-- Efficacy Difference (A to C) --> <g stroke="#E57373" stroke-width="2" fill="none"> <path d="M 850 75 L 850 145" stroke-dasharray="2 4" /> <path d="M 843 135 L 850 145 L 857 135" stroke-dasharray="0" stroke-linecap="round" stroke-linejoin="round"/> </g> <text x="865" y="115" fill="#E57373" font-size="16" alignment-baseline="middle" font-style="italic">Lower Emax</text> </svg>

Agonists & Antagonists

AGONISTS

ANTAGONISTS

Full Agonist

Binds receptor and produces MAXIMUM response.

High intrinsic efficacy (α=1)

Example: Morphine, Adrenaline

Partial Agonist

Binds receptor but produces SUBMAXIMAL response.

Intermediate intrinsic efficacy (0<α<1)

Example: Buprenorphine

Inverse Agonist

Binds receptor and produces OPPOSITE effect.

Negative intrinsic efficacy (α<0)

Example: β-carbolines

Competitive Antagonist

Competes with agonist for same receptor site.

Effect REVERSIBLE by increasing agonist concentration.

Shifts DRC to the right (parallel shift).

Example: Atropine, Naloxone

Non-competitive Antagonist

Binds irreversibly or at allosteric site.

DEPRESSES Emax. Cannot be overcome by increasing agonist.

Example: Phenoxybenzamine

Competitive vs Non-Competitive Antagonism

Competitive Antagonism

Non-Competitive Antagonism

Therapeutic Index & Safety Ratios

Therapeutic Index (TI)

A measure of drug safety — ratio of toxic dose to effective dose.

TI = TD<sub>50</sub> / ED<sub>50</sub>

(or in animal studies: TI = LD<sub>50</sub> / ED<sub>50</sub>)

Higher TI = Safer drug (wider margin between effective and toxic doses)

Certain Safety Factor (CSF)

CSF = TD<sub>1</sub> / ED<sub>99</sub>

More conservative — uses the lowest toxic dose vs highest effective dose

Therapeutic Window

Range of doses between minimum effective concentration (MEC) and minimum toxic concentration (MTC). Drug must stay within this range for optimal therapy.

Pharmacology Fundamentals

Pharmacokinetics & Dynamics

Spare Receptors & Receptor Reserve

Concept of Spare Receptors

Implications

Maximum effect can be achieved even when only a <strong style="color: #7EC8E3; font-weight: 800;">FRACTION</strong> of receptors are occupied

Remaining unoccupied receptors are called "spare receptors" or "receptor reserve"

First demonstrated by Stephenson (1956)

Spare receptors increase sensitivity to agonist (leftward shift of DRC)

<strong style="color: #C9A84C; font-weight: 800; letter-spacing: 1px;">EC<sub style="font-size: 14px; margin-left: 1px;">50</sub> &lt; K<sub style="font-size: 14px; margin-left: 1px;">d</sub></strong> (EC<sub style="font-size: 14px; margin-left: 1px;">50</sub> is lower than dissociation constant)

Even if some receptors are blocked, full response may still occur

Tissues with more spare receptors are more sensitive to agonists

Important in understanding tolerance and drug resistance

Total Receptors (100%)

Department of Pharmacology

Medical/Pharmacy Students

Signal Transduction & Downstream Effects

Ion Channel-Linked Receptors

Direct ion flow on binding.

Fast response (milliseconds)

nAChR, GABA-A

Membrane depolarization / hyperpolarization

G-Protein Coupled Receptors (GPCRs)

Most common receptor type. Coupled to second messengers (cAMP, IP3, DAG).

Moderate speed (seconds)

Adrenergic, muscarinic receptors

Activation of downstream paths

Enzyme-Linked Receptors

Tyrosine kinase activity on binding.

Slower response (minutes-hours)

Insulin receptor, growth factor receptors

Gene expression changes

Drug

Receptor Binding

Signal Transduction

Second Messenger

Effector Protein

Biological Effect

Drug Tolerance & Desensitization

Tolerance

Decreased response to a drug over time with repeated exposure

Requires increasing doses to achieve the same effect

Types: Pharmacokinetic (metabolic), Pharmacodynamic (receptor-level)

Opioid tolerance, alcohol tolerance, nitrate tolerance

Receptor Desensitization

Loss of receptor responsiveness despite continued drug presence

Mechanisms: receptor phosphorylation, internalization, uncoupling from G-protein

Tachyphylaxis: rapid onset desensitization

Beta-adrenergic receptor desensitization with prolonged β-agonist use

Key Takeaways

🔬 Drug effects are quantified through dose-response relationships

📈 Graded DRCs measure magnitude; Quantal DRCs measure population response

🎯 EC50 reflects potency; Emax reflects efficacy

⚖️ Therapeutic Index = TD50/ED50 — key safety measure

🔗 Competitive antagonism shifts DRC right; non-competitive reduces Emax

💊 Spare receptors allow maximal effect with partial receptor occupancy

🔄 Tolerance/desensitization reduce drug response over time

🧬 Signal transduction links receptor binding to biological effects

Understanding receptor quantitation is fundamental to rational drug design and clinical pharmacotherapy.

Department of Pharmacology

Thank You

  • pharmacology
  • pharmacodynamics
  • dose-response-curve
  • receptor-theory
  • agonists-antagonists
  • medical-education
  • drug-efficacy