SAR for gastro-intestinal absorption and blood-brain barrier permeation of pesticides

Andrey A Toropov, Alla P Toropova, Emilio Benfenati, Jean Lou Dorne

Research output: Contribution to journalArticlepeer-review

Abstract

The CORAL software has been applied to the development of classification models for pesticides relative to two pharmacokinetic properties in humans: (i) gastro-intestinal absorption; and (ii) blood-brain barrier permeation. These models were built up using categorical data on pesticide absorption and brain permeation split into training, invisible training, calibration and external validation sets using Monte Carlo simulations. The models were assessed using several random splits into the training and validation sets. Optimal SMILES-based descriptors sensitive to the presence of different chemical elements and types of covalent bonds have been used to build up models. The range of Matthews correlation coefficient for suggested models is 0.64-0.75. The perspectives of studied approach as a tool to build up models for pharmacokinetic properties of chemicals is discussed. The models are built up according to OECD principles.

Original languageEnglish
Pages (from-to)1-5
Number of pages5
JournalChemico-Biological Interactions
Volume290
DOIs
Publication statusPublished - Jun 25 2018

Keywords

  • Blood-Brain Barrier/metabolism
  • Gastrointestinal Tract/metabolism
  • Half-Life
  • Humans
  • Models, Molecular
  • Permeability
  • Pesticides/metabolism
  • Software
  • Structure-Activity Relationship

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