3D-QSAR methods on the basis of ligand-receptor complexes. Application of COMBINE and GRID/GOLPE methodologies to a series of CYP1A2 ligands

Juan José Lozano, Manuel Pastor, Gabriele Cruciani, Katrin Gaedt, Nuria B. Centeno, Federico Gago, Ferran Sanz

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    71 Citations (Scopus)

    Abstract

    Many heterocyclic amines (HCA) present in cooked food exert a genotoxic activity when they are metabolised (N-oxidated) by the human cytochrome P450 1A2 (CYP1A2h). In order to rationalize the observed differences in activity of this enzyme on a series of 12 HCA, 3D-QSAR methods were applied on the basis of models of HCA-CYP1A2h complexes. The CYP1A2h enzyme model has been previously reported and was built by homology modeling based on cytochrome P450 BM3. The complexes were automatically generated applying the AUTODOCK software and refined using AMBER. A COMBINE analysis on the complexes identified the most important enzyme-ligand interactions that account for the differences in activity within the series. A GRID/GOLPE analysis was then performed on just the ligands, in the conformations and orientations found in the modeled complexes. The results from both methods were concordant and confirmed the advantages of incorporating structural information from series of ligand-receptor complexes into 3D-QSAR methodologies.
    Original languageEnglish
    Pages (from-to)341-353
    JournalJournal of Computer-Aided Molecular Design
    Volume14
    Issue number4
    DOIs
    Publication statusPublished - 4 May 2000

    Keywords

    • 3D-QSAR
    • AUTODOCK
    • COMBINE
    • Cooked food heterocyclic amines
    • Cytochrome P450 1A2
    • Docking simulation
    • GRID/GOLPE

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