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Tracking Drug-induced Changes in Receptor Post-internalization Trafficking by Colocalizational Analysis

Tracking Drug-induced Changes in Receptor Post-internalization Trafficking by Colocalizational Analysis

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Interactions between drugs and occupied receptors.

Ronald J Tallarida¹

¹Department of Pharmacology, and Center on Substance Research, Temple University School of Medicine, Philadelphia, PA 19149, USA. ronald.tallarida@temple.edu

Pharmacology & Therapeutics

|November 3, 2006

Summary

This review details advanced isobolographic methods for analyzing drug interactions, distinguishing additive effects and exploring multi-receptor drug actions. It provides quantitative insights into drug mechanisms and clinical applications.

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Area of Science:

Pharmacology
Quantitative Pharmacology
Drug Interaction Analysis

Background:

Traditional isobolographic procedures analyze joint drug actions with similar effects.
Newer computational methods are needed for agonists with dissimilar concentration-effect curves.
Understanding drug interactions is crucial for drug mechanism exploration and clinical practice.

Purpose of the Study:

To present updated computational isobolographic procedures for analyzing drug interactions, including dissimilar concentration-effect curves.
To introduce a novel application of isoboles for characterizing interactions between multiple receptor subtypes mediated by a single drug.
To provide detailed graphical and mathematical explanations of these quantitative methods.

Main Methods:

Application of advanced computational procedures for isobolographic analysis.
Development of a metric to characterize receptor subtype interactions for single-drug, multi-receptor systems.
Re-examination of competitive antagonism and the Schild plot in the context of multi-receptor interactions.

Main Results:

Distinguishing super-additive and sub-additive interactions from additive ones.
Demonstration that Schild plots in multi-receptor systems are not necessarily linear with unit slope.
Quantitative characterization of interactions between receptor subtypes.

Conclusions:

Advanced isobolographic methods offer robust tools for analyzing complex drug interactions.
The novel application of isoboles provides a metric for understanding single-drug, multi-receptor pharmacology.
This work enhances the quantitative understanding of drug mechanisms and clinical pharmacology.