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Related Experiment Videos

Quantitative structure-pharmacokinetic/pharmacodynamic relationships.

Donald E Mager1

  • 1Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, 543 Hochstetter Hall, Buffalo, NY 14260, USA. dmager@buffalo.edu

Advanced Drug Delivery Reviews
|November 10, 2006
PubMed
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Quantitative structure-PK/PD relationships integrate molecular properties with drug effects. This review covers developing these models to predict drug efficacy and guide rational drug design for better therapeutics.

Area of Science:

  • Pharmacology
  • Medicinal Chemistry
  • Systems Biology

Background:

  • Quantitative structure-activity relationships (QSAR) traditionally guide drug discovery.
  • In vitro and pre-clinical data are insufficient for predicting in vivo drug efficacy.
  • Integrated pharmacokinetic (PK) and pharmacodynamic (PD) processes are crucial for lead optimization.

Purpose of the Study:

  • To review traditional and contemporary approaches for developing quantitative structure-PK relationships (QSPKR) models.
  • To discuss the coupling of QSPKR and pharmacodynamic models.
  • To highlight the prediction of drug effects and guide rational drug design.

Main Methods:

  • Review of empirical and mechanistic QSPKR model development.
  • Analysis of integrated QSPKR and pharmacodynamic modeling approaches.

Related Experiment Videos

  • Discussion of quantitative structure-pharmacodynamic relationships (QSPPD) modeling.

    • Main Results:

    • Significant progress in constructing QSPKR and pharmacodynamic models.
    • Examples of coupled QSPKR-PD models predicting drug effect intensity and time-course.
    • Demonstration of QSPPD modeling for predicting pharmacological outcomes.

    Conclusions:

    • Integrated QSPKR and PD models are essential for predicting drug behavior.
    • These models align with systems biology goals for designing drugs from first principles.
    • Future drug design can be advanced through comprehensive QSPKR and PD modeling.