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Welcome to this lecture on
dose response relationships,
providing an overview of
the fundamental
pharmacological principles
behind dose response
relationships,
including how drug effects
vary with concentration and
the implications for
therapeutic benefits
and side effect risks.
We'll explain the IMAX model as
well as the distinction
between potency and
efficacy and their importance in
drug comparison and
clinical application.
The session will also
address the concept of
the therapeutic window strategies
for dose optimization,
and the role of patient
variability in dosing decisions.
Finally, we will discuss
how early clinical trials,
therapeutic drug monitoring,
and personalized
dosing approaches use
dose response analysis
to improve drug therapy.
We will explore the fundamental
pharmacological principles
behind dose response
relationships,
a cornerstone of drug development
and clinical practice.
The dose response
relationship describes how
the biological response varies
by drug dose or concentration.
Dose is typically plotted on
the X axis and effect
on the y axis,
generating a sigmoidal curve.
This highlights
that drug response
is not linearly
proportional to dose,
shaping understanding of
both therapeutic benefits
and side effect risks.
To quantify and model
these relationships,
we often use the Emax or
maximal effect model.
The Emax model mathematically
relates drug
concentration to effect.
Typically as effect equals
Emax times concentration divided
by EC 50 plus concentration.
Emax is the maximal
achievable effect,
