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- W3174674767 endingPage "9403" @default.
- W3174674767 startingPage "9389" @default.
- W3174674767 abstract "Models intended to predict intestinal absorption are an essential part of the drug development process. Although many models exist for capturing intestinal absorption, many questions still exist around the applicability of these models to drug types like beyond rule of 5 (bRo5) and low absorption compounds. This presents a challenge as current models have not been rigorously tested to understand intestinal absorption. Here, we assembled a large, structurally diverse dataset of ∼1000 compounds with known in vitro, preclinical, and human permeability and/or absorption data. In silico (quantitative structure-activity relationship), in vitro (Caco-2), and in vivo (rat) models were statistically evaluated for predictive performance against this human intestinal absorption dataset. We expect this evaluation to serve as a resource for DMPK scientists and medicinal/computational chemists to increase their understanding of permeability and absorption model utility and applications for academia and industry." @default.
- W3174674767 created "2021-07-05" @default.
- W3174674767 creator A5014711085 @default.
- W3174674767 creator A5017336743 @default.
- W3174674767 creator A5023015629 @default.
- W3174674767 creator A5052775956 @default.
- W3174674767 creator A5057541429 @default.
- W3174674767 creator A5064685681 @default.
- W3174674767 date "2021-06-21" @default.
- W3174674767 modified "2023-10-16" @default.
- W3174674767 title "Global Analysis of Models for Predicting Human Absorption: QSAR, <i>In Vitro</i>, and Preclinical Models" @default.
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