Article ID Journal Published Year Pages File Type
1373929 Bioorganic & Medicinal Chemistry Letters 2009 8 Pages PDF
Abstract

Analysis of a large, structurally diverse Caco-2 permeability dataset using a variety of statistical techniques suggests that log D and molecular weight are the most important factors in determining the permeability of drug candidates. The limit for log D is shown to be dependent on molecular weight. These limits are shown to be potentially superior to current guidelines in increasing the chances of finding highly permeable compounds. When combined with suggested upper limits for lipophilicity suggested in the literature based on the avoidance of toxicology and other adverse effects, this helps define a lipophilicity range that is optimum for drug candidates.

Graphical abstractFigure optionsDownload full-size imageDownload as PowerPoint slide

Related Topics
Physical Sciences and Engineering Chemistry Organic Chemistry
Authors
,