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(Q)SARs to predict environmental toxicities: current status and future needs.

Mark T D Cronin1

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Quantitative Structure-Activity Relationships ((Q)SARs) effectively predict acute environmental toxicity for non-polar narcotics. However, predicting chronic toxicity and mixture effects requires more data and mechanistic insights, including Adverse Outcome Pathways (AOPs).

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Area of Science:

  • Environmental toxicology
  • Computational chemistry
  • Risk assessment

Background:

  • Quantitative Structure-Activity Relationships ((Q)SARs) are computational tools used to predict chemical toxicity.
  • (Q)SAR models face challenges in predicting environmental toxicity, especially for complex mechanisms and chronic effects.
  • Existing models are limited in addressing the toxicity of chemical mixtures.

Purpose of the Study:

  • To assess the current capabilities of (Q)SARs for predicting environmental toxicity.
  • To identify limitations and recommend future development directions for (Q)SAR models.
  • To explore the integration of new toxicological concepts into (Q)SAR development.

Main Methods:

  • Review and assessment of existing (Q)SAR models for environmental toxicity prediction.
  • Analysis of prediction accuracy for different toxicity endpoints and mechanisms of action.
  • Evaluation of data requirements and mechanistic information needed for model improvement.

Main Results:

  • Acute toxicity of non-polar narcotic compounds is well-predicted by (Q)SARs.
  • Predicting chronic toxicity and effects of specific mechanisms of action requires alternative approaches like read-across.
  • (Q)SARs currently inadequately address the toxicity of chemical mixtures.

Conclusions:

  • Further development of (Q)SARs for environmental toxicity requires robust datasets and mechanistic information.
  • Integrating concepts like Adverse Outcome Pathways (AOPs) and omics data can enhance (Q)SAR model relevance and accuracy.
  • Future (Q)SAR models should aim for greater mechanistic understanding to improve predictions for chronic toxicity and mixtures.