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Experimentally Validated hERG Pharmacophore Models as Cardiotoxicity Prediction Tools

  • Jadel M. Kratz
  • , Daniela Schuster
  • , Michael Edtbauer
  • , Priyanka Saxena
  • , Christina E. Mair
  • , Julia Kirchebner
  • , Barbara Matuszczak
  • , Igor Baburin
  • , Steffen Hering
  • , Judith M. Rollinger

    Publications: Contribution to journalArticlePeer Reviewed

    Abstract

    The goal of this study was to design, experimentally validate, and apply a virtual screening workflow to identify novel hERG channel blockers. The hERG channel is an important antitarget in drug development since cardiotoxic risks remain as a major cause of attrition. A ligand-based pharmacophore model collection was developed and theoretically validated. The seven most complementary and suitable models were used for virtual screening of in-house and commercially available compound libraries. From the hit lists, 50 compounds were selected for experimental validation through bioactivity assessment using patch clamp techniques. Twenty compounds inhibited hERG channels expressed in HEK 293 cells with IC 50 values ranging from 0.13 to 2.77 M, attesting to the suitability of the models as cardiotoxicity prediction tools in a preclinical stage.

    Original languageEnglish
    Pages (from-to)2887-2901
    Number of pages15
    JournalJournal of Chemical Information and Modeling
    Volume54
    Issue number10
    DOIs
    Publication statusPublished - Oct 2014

    Austrian Fields of Science 2012

    • 106005 Bioinformatics
    • 301206 Pharmacology
    • 301204 Pharmacognosy

    Keywords

    • MAMMALIAN-CELL LINE
    • LONG-QT-SYNDROME
    • POTASSIUM CHANNELS
    • ION-CHANNEL
    • K+ CHANNELS
    • CONFORMER GENERATION
    • DRUG DEVELOPMENT
    • SCREENING DATA
    • DE-POINTES
    • INHIBITION

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