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Prediction and Mechanistic Interpretation of Human Oral Drug Absorption Using MI-QSAR Analysis
Author(s) -
Manisha Iyer,
Yufeng Jane Tseng,
Craig L. Senese,
Jianzhong Liu,
A. J. Hopfinger
Publication year - 2006
Publication title -
molecular pharmaceutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.13
H-Index - 127
eISSN - 1543-8392
pISSN - 1543-8384
DOI - 10.1021/mp0600900
Subject(s) - quantitative structure–activity relationship , chemistry , molecular descriptor , absorption (acoustics) , test set , applicability domain , intramolecular force , computational chemistry , biological system , stereochemistry , artificial intelligence , computer science , materials science , composite material , biology
Membrane-interaction [MI]-QSAR analysis, which includes descriptors explicitly derived from simulations of solutes [drugs] interacting with phospholipid membrane models, was used to construct QSAR models for human oral intestinal drug absorption. A data set of 188 compounds, which are mainly drugs, was divided into a parent training set of 164 compounds and a test set of 24 compounds. Stable, but not highly fit [R2 = 0.68] MI-QSAR models could be built for all 188 compounds. However, the relatively large number [47] of drugs having 100% absorption, as well as all zwitterionic compounds [11], had to be eliminated from the training set in order to construct a linear five-term oral absorption diffusion model for 106 compounds which was both stable [R2 = 0.82, Q2 = 0.79] and predictive given the test set compounds were predicted with nearly the same average accuracy as the compounds of the training set. Intermolecular membrane-solute descriptors are essential to building good oral absorption models, and these intermolecular descriptors are displaced in model optimizations and intramolecular solute descriptors found in published oral absorption QSAR models. A general form for all of the oral intestinal absorption MI-QSAR models has three classes of descriptors indicative of three thermodynamic processes: (1) solubility and partitioning, (2) membrane-solute interactions, and (3) flexibility of the solute and/or membrane. The intestinal oral absorption MI-QSAR models were compared to MI-QSAR models previously developed for Caco-2 cell permeation and for blood-brain barrier penetration. The MI-QSAR models for all three of these ADME endpoints share several common descriptors, and suggest a common mechanism of transport across all three barriers. A further analysis of these three types of MI-QSAR models has been done to identify descriptor-term differences across these three models, and the corresponding differences in thermodynamic transport behavior of the three barriers.

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