Global Analysis of Models for Predicting Human Absorption: QSAR, In Vitro, and Preclinical Models
| Autor: | Kelly E. Desino, Balakrishna Hosmane, Stella Doktor, Edward Price, David A. Degoey, J. Cory Kalvass |
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| Rok vydání: | 2021 |
| Předmět: |
0303 health sciences
Quantitative structure–activity relationship Chemistry In silico Computational biology 01 natural sciences Intestinal absorption 0104 chemical sciences 010404 medicinal & biomolecular chemistry 03 medical and health sciences Drug development Drug Discovery Human intestinal absorption Lipinski's rule of five Molecular Medicine Absorption (electromagnetic radiation) 030304 developmental biology |
| Zdroj: | Journal of Medicinal Chemistry. 64:9389-9403 |
| ISSN: | 1520-4804 0022-2623 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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