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Related Experiment Video

Updated: Jul 13, 2026

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

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Published on: July 1, 2020

Is PAMPA a useful tool for discovery?

D Galinis-Luciani1, L Nguyen, M Yazdanian

  • 1Worldwide Drug Development, Cephalon, Inc., 145 Brandywine Parkway, West Chester, Pennsylvania 19380, USA. dluciani@cephalon.com

Journal of Pharmaceutical Sciences
|August 19, 2007
PubMed
Summary

The Parallel Artificial Membrane Permeability Assay (PAMPA) provides lipophilicity data for drug discovery. However, calculated log D values offer a simpler method to obtain similar lipophilicity information.

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Area of Science:

  • Pharmacology and Drug Discovery
  • Computational Chemistry
  • Analytical Chemistry

Background:

  • The Parallel Artificial Membrane Permeability Assay (PAMPA) is a method used to assess drug permeability.
  • Evaluating experimental variables can refine PAMPA's utility in drug discovery.
  • Lipophilicity, often measured by octanol/water distribution coefficients, is a key factor in drug behavior.

Purpose of the Study:

  • To review experimental PAMPA data for 40 commercial drugs.
  • To evaluate improvements and variables in PAMPA methodology.
  • To compare PAMPA results with calculated and measured lipophilicity values.

Main Methods:

  • Analysis of existing experimental PAMPA data for 40 low molecular weight drugs.
  • Evaluation of literature-reported PAMPA experimental variables and modifications.
  • Correlation analysis between PAMPA results and octanol/water distribution coefficients (log D).

Main Results:

  • PAMPA data successfully reflects compound lipophilicity.
  • The lipophilicity information obtained from PAMPA is comparable to octanol/water partitioning.
  • Calculated log D values provide equivalent lipophilicity data more simply than PAMPA.

Conclusions:

  • PAMPA is a useful tool for assessing drug lipophilicity in early drug discovery.
  • However, calculated log D values offer a more straightforward and efficient alternative for determining lipophilicity.
  • Further research may focus on integrating calculated log D into standard drug discovery workflows.