• Title of article

    Development of quantitative structure–activity relationship (QSAR) models to predict the carcinogenic potency of chemicals. II. Using oral slope factor as a measure of carcinogenic potency

  • Author/Authors

    Wang، نويسنده , , Nina Ching Yi and Venkatapathy، نويسنده , , Raghuraman and Bruce، نويسنده , , Robert Mark and Moudgal، نويسنده , , Chandrika، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2011
  • Pages
    12
  • From page
    215
  • To page
    226
  • Abstract
    The overall risk associated with exposure to a chemical is determined by combining quantitative estimates of exposure to the chemical with their known health effects. For chemicals that cause carcinogenicity, oral slope factors (OSFs) and inhalation unit risks are used to quantitatively estimate the carcinogenic potency or the risk associated with exposure to the chemical by oral or inhalation route, respectively. Frequently, there is a lack of animal or human studies in the literature to determine OSFs. This study aims to circumvent this problem by developing quantitative structure–activity relationship (QSAR) models to predict the OSFs of chemicals. The OSFs of 70 chemicals based on male/female human, rat, and mouse bioassay data were obtained from the United States Environmental Protection Agency’s Integrated Risk Information System (IRIS) database. A global QSAR model that considered all 70 chemicals as well as species and/or sex-specific QSARs were developed in this study. Study results indicate that the species and sex-specific QSARs (r2 > 0.8, q2 > 0.7) had a better predictive abilities than the global QSAR developed using data from all species and sexes (r2 = 0.77, q2 = 0.73). The QSARs developed in this study were externally validated, and demonstrated reasonable predictive abilities.
  • Keywords
    Quantitative structure-toxicity relationship (QSTR) models , Carcinogenic potency , Integrated Risk Information System (IRIS) , Oral slope factor (OSF) , Toxicity estimation , Quantitative structure-activity relationship (QSAR) models
  • Journal title
    Regulatory Toxicology and Pharmacology
  • Serial Year
    2011
  • Journal title
    Regulatory Toxicology and Pharmacology
  • Record number

    1489211