A Novel Approach for Predicting P-Glycoprotein (ABCB1) Inhibition Using Molecular Interaction Fields

详细信息    查看全文

• 作者：Fabio Broccatelli ; Emanuele Carosati ; Annalisa Neri ; Maria Frosini ; Laura Goracci ; Tudor I. Oprea ; Gabriele Cruciani
• 刊名：Journal of Medicinal Chemistry
• 出版年：2011
• 出版时间：March 24, 2011
• 年：2011
• 卷：54
• 期：6
• 页码：1740-1751
• 全文大小：1071K
• 年卷期：v.54,no.6(March 24, 2011)
• ISSN：1520-4804

文摘

P-glycoprotein (Pgp or ABCB1) is an ABC transporter protein involved in intestinal absorption, drug metabolism, and brain penetration, and its inhibition can seriously alter a drug's bioavailability and safety. In addition, inhibitors of Pgp can be used to overcome multidrug resistance. Given this dual purpose, reliable in silico procedures to predict Pgp inhibition are of great interest. A large and accurate literature collection yielded more than 1200 structures; a model was then constructed using various molecular interaction field-based technologies, considering pharmacophoric features and those physicochemical properties related to membrane partitioning. High accuracy was demonstrated internally with two different validation sets and, moreover, using a number of molecules, for which Pgp inhibition was not experimentally available but was evaluated in-house. All of the validations confirmed the robustness of the model and its suitability to help medicinal chemists in drug discovery. The information derived from the model was rationalized as a pharmacophore for competitive Pgp inhibition.