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  • Title: Handling of computational in vitro/in vivo correlation problems by Microsoft Excel: V. Predictive absorbability models.
    Author: Langenbucher F.
    Journal: Eur J Pharm Biopharm; 2007 Aug; 67(1):293-9. PubMed ID: 17363230.
    Abstract:
    This paper discusses Excel applications related to the prediction of drug absorbability from physicochemical constants. PHDISSOC provides a generalized model for pH profiles of electrolytic dissociation, water solubility, and partition coefficient. SKMODEL predicts drug absorbability, based on a log-log plot of water solubility and O/W partitioning; augmented by additional features such as electrolytic dissociation, melting point, and the dose administered. GIABS presents a mechanistic model of g.i. drug absorption. BIODATCO presents a database compiling relevant drug data to be used for quantitative predictions.
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