Prioritizing Chemicals for Risk Assessment Using Chemoinformatics: Examples from the IARC Monographs on Pesticides

Neela Guha1, Kathryn Z Guyton, Dana Loomis

  • 1International Agency for Research on Cancer (IARC) Monographs Programme, Lyon, France.

Abstract

Insights

A new chemoinformatics strategy helps prioritize cancer hazard evaluations for pesticides. This method systematically identifies and screens chemicals, improving efficiency for risk assessment and regulatory decisions.

Area of Science:

  • Environmental Health Sciences
  • Toxicology
  • Computational Chemistry

Background:

  • Cancer hazard identification is crucial for prevention.
  • The International Agency for Research on Cancer (IARC) evaluates agents for carcinogenic potential.
  • Current IARC methods rely on nominations, expert advice, and existing data.

Purpose of the Study:

  • To develop a novel strategy for identifying agents for cancer hazard evaluation.
  • To complement existing methods used by the IARC Monographs Programme.
  • To improve the efficiency and systematic selection of chemicals for risk assessment.

Main Methods:

  • Utilized chemoinformatics, database integration, and automated text mining.
  • Screened nearly 6,000 chemical structures of nominated pesticides.
  • Compiled information on 980 pesticides, creating network maps for visualization.

Main Results:

  • Identified and screened a large number of pesticides using computational methods.
  • Network maps visualized pesticide clusters by chemical similarity and data sources.
  • Supported the high-priority evaluation of key pesticides including glyphosate and DDT by IARC.

Conclusions:

  • The systematic approach enhances efficiency in selecting and prioritizing agents for hazard identification and risk assessment.
  • This method can be applied by risk assessors and researchers.
  • The approach is adaptable for evaluating various agents like occupational carcinogens, drugs, and foods.

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