International Journal of Molecular Sciences | |
Development of Classification Models for Identifying “True” P-glycoprotein (P-gp) Inhibitors Through Inhibition, ATPase Activation and Monolayer Efflux Assays | |
Simona Rapposelli1  Alessio Coi2  Marcello Imbriani3  | |
[1] Department of Pharmaceutical Sciences, University of Pisa, Via Bonanno 6, Pisa 56126, Italy; E-Mail:;Consorzio Interuniversitario Nazionale per la Scienza e la Tecnologia dei Materiali (INSTM), Via Giusti 9, Firenze 50121, Italy; E-Mail:;Fondazione S. Maugeri, Via S. Maugeri 4, Pavia 27100, Italy; E-Mail: | |
关键词: P-glicoprotein; decision trees; classification model; consensus model; P-gp inhibitors; MDR1 ligands; | |
DOI : 10.3390/ijms13066924 | |
来源: mdpi | |
【 摘 要 】
P-glycoprotein (P-gp) is an efflux pump involved in the protection of tissues of several organs by influencing xenobiotic disposition. P-gp plays a key role in multidrug resistance and in the progression of many neurodegenerative diseases. The development of new and more effective therapeutics targeting P-gp thus represents an intriguing challenge in drug discovery. P-gp inhibition may be considered as a valid approach to improve drug bioavailability as well as to overcome drug resistance to many kinds of tumours characterized by the over-expression of this protein. This study aims to develop classification models from a unique dataset of 59 compounds for which there were homogeneous experimental data on P-gp inhibition, ATPase activation and monolayer efflux. For each experiment, the dataset was split into a training and a test set comprising 39 and 20 molecules, respectively. Rational splitting was accomplished using a sphere-exclusion type algorithm. After a two-step (internal/external) validation, the best-performing classification models were used in a consensus predicting task for the identification of compounds named as “true” P-gp inhibitors,
【 授权许可】
CC BY
© 2012 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.
【 预 览 】
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RO202003190043626ZK.pdf | 147KB | download |