A novel approach for predicting P-glycoprotein (ABCB1) inhibition using molecular interaction fields. Academic Article uri icon

start page

  • 1740

end page

  • 1751

abstract

  • 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.

date/time value

  • 2011

Digital Object Identifier (DOI)

  • 10.1021/jm101421d

PubMed Identifier

  • 21341745

volume

  • 54

number

  • 6

keywords

  • Animals
  • Butyrophenones
  • Cell Line, Tumor
  • Cell Membrane Permeability
  • Drug Design
  • Humans
  • Hydrophobic and Hydrophilic Interactions
  • Ligands
  • Mice
  • Models, Molecular
  • Molecular Structure
  • P-Glycoprotein
  • Piperazines
  • Piperidines
  • Protein Binding
  • Quantitative Structure-Activity Relationship
  • Quinolones