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Structural determinants of developmental toxicity

N Takihi1, H S Rosenkranz, G Klopman

  • 1Department of Environmental and Occupational Health, Graduate School of Public Health, University of Pittsburgh, Pennsylvania 15261.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|August 1, 1994
PubMed
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This study reveals a structural basis for developmental toxicity, enabling prediction of chemical hazards. The Computer Automated Structure Evaluation (CASE) system accurately identifies structural fragments linked to developmental toxicity in multiple species.

Area of Science:

  • Toxicology
  • Computational Chemistry
  • Risk Assessment

Background:

  • Developmental toxicity testing faces data gaps and accessibility issues, complicating regulatory efforts.
  • Existing methods often necessitate using alternative toxicological endpoints to assess developmental toxicants.
  • There is a critical need for reliable methods to predict developmental toxicity and identify hazardous chemicals.

Purpose of the Study:

  • To explore structure-activity relationships in developmental toxicity using computational methods.
  • To develop and validate an expert system for predicting developmental toxicants based on molecular structure.
  • To identify specific structural fragments associated with developmental toxicity across different species.

Main Methods:

  • Utilized a database of known developmental toxicants in rats, mice, rabbits, and humans.

Related Experiment Videos

  • Employed the Computer Automated Structure Evaluation (CASE) expert system to analyze structure-activity relationships.
  • CASE identified molecular descriptors from a learning set of active and inactive molecules.
  • Main Results:

    • CASE achieved prediction concordance rates of 77–82% in randomly constructed learner and tester sets.
    • Identified 13 key structural fragments associated with developmental toxicity in mice.
    • Identified 15 fragments in rats, 9 in rabbits, and 7 in humans, demonstrating species-specific patterns.

    Conclusions:

    • Structural features significantly correlate with developmental toxicity, providing a basis for prediction.
    • The CASE system effectively predicts developmental hazards of untested or inadequately tested chemicals.
    • This approach offers a valuable tool for regulatory agencies to manage developmental toxicants.