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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.
Background:
Identifying cancer hazards is the first step towards cancer prevention. The International Agency for Research on Cancer (IARC) Monographs Programme, which has evaluated nearly 1,000 agents for their carcinogenic potential since 1971, typically selects agents for hazard identification on the basis of public nominations, expert advice, published data on carcinogenicity, and public health importance.
Objectives:
Here, we present a novel and complementary strategy for identifying agents for hazard evaluation using chemoinformatics, database integration, and automated text mining.
Discussion:
To inform selection among a broad range of pesticides nominated for evaluation, we identified and screened nearly 6,000 relevant chemical structures, after which we systematically compiled information on 980 pesticides, creating network maps that allowed cluster visualization by chemical similarity, pesticide class, and publicly available information concerning cancer epidemiology, cancer bioassays, and carcinogenic mechanisms. For the IARC Monograph meetings that took place in March and June 2015, this approach supported high-priority evaluation of glyphosate, malathion, parathion, tetrachlorvinphos, diazinon, p,p'-dichlorodiphenyltrichloroethane (DDT), lindane, and 2,4-dichlorophenoxyacetic acid (2,4-D).
Conclusions:
This systematic approach, accounting for chemical similarity and overlaying multiple data sources, can be used by risk assessors as well as by researchers to systematize, inform, and increase efficiency in selecting and prioritizing agents for hazard identification, risk assessment, regulation, or further investigation. This approach could be extended to an array of outcomes and agents, including occupational carcinogens, drugs, and foods. Citation: Guha N, Guyton KZ, Loomis D, Barupal DK. 2016. Prioritizing chemicals for risk assessment using chemoinformatics: examples from the IARC Monographs on Pesticides. Environ Health Perspect 124:1823-1829; http://dx.doi.org/10.1289/EHP186.
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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