Abstract
Comparative chemical hazard assessment, which compares hazards for several endpoints across several chemicals, can be used for a variety of purposes including alternatives assessment and the prioritization of chemicals for further assessment. A new framework was developed to compile and integrate chemical hazard data for several human health and ecotoxicity endpoints from public online sources including hazardous chemical lists, Globally Harmonized System hazard codes (H-codes) or hazard categories from government health agencies, experimental quantitative toxicity values, and predicted values using Quantitative Structure–Activity Relationship (QSAR) models. QSAR model predictions were obtained using EPA’s Toxicity Estimation Software Tool. Java programming was used to download hazard data, convert data from each source into a consistent score record format, and store the data in a database. Scoring criteria based on the EPA’s Design for the Environment Program Alternatives Assessment Criteria for Hazard Evaluation were used to determine ordinal hazard scores (i.e., low, medium, high, or very high) for each score record. Different methodologies were assessed for integrating data from multiple sources into one score for each hazard endpoint for each chemical. The chemical hazard assessment (CHA) Database developed in this study currently contains more than 990,000 score records for more than 85,000 chemicals. The CHA Database and the methods used in its development may contribute to several cheminformatics, public health, and environmental activities.
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Acknowledgements
The authors thank Valery Tkachenko and Jonathan Fox for their assistance with code development and data mining. The authors thank Michael Gonzalez, William Barrett, Richard Judson, and Maureen Gwinn for helpful feedback on earlier drafts of the manuscript, and Sudhakar Takkellapati, Kidus Tadele, Paul Harten, Jane Bare, Grace Patlewicz, and Antony Williams for helpful suggestions and insights on comparative chemical hazard assessment. Dr. Vegosen gratefully acknowledges support by an appointment to the Research Participation Program at the U.S. Environmental Protection Agency (EPA), administered by the Oak Ridge Institute for Science and Education (ORISE) through an interagency agreement between the U.S. Department of Energy and EPA.
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Vegosen, L., Martin, T.M. An automated framework for compiling and integrating chemical hazard data. Clean Techn Environ Policy 22, 441–458 (2020). https://doi.org/10.1007/s10098-019-01795-w
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DOI: https://doi.org/10.1007/s10098-019-01795-w