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The next generation blueprint of computational toxicology at the U.S. Environmental Protection Agency

Authors :
Elin M. Ulrich
Jane Ellen Simmons
R. Woodrow Setzer
John F. Wambaugh
Jeffrey B. Frithsen
Keith A. Houck
Chad Deisenroth
Kathie L. Dionisio
Ann M. Richard
Antony J. Williams
Amar V. Singh
Timothy J. Shafer
Tina Bahadori
Stephanie Padilla
Imran Shah
John Cowden
Timothy J. Buckley
Katherine Phillips
Mark Higuchi
Richard S. Judson
Seth Newton
Todd M. Martin
Michael F. Hughes
Barbara A. Wetmore
Maureen R. Gwinn
Christopher M. Grulke
Thomas B. Knudsen
Jason C. Lambert
Kristin Isaacs
E. Sidney Hunter
Adam Swank
Grace Patlewicz
Joshua A. Harrill
Monica Linnenbrink
Katie Paul-Friedman
Rogelio Tornero-Valez
Daniel L. Villeneuve
Reeder Sams
Jon R. Sobus
Mark J. Strynar
Russell S. Thomas
Steven O. Simmons
Source :
Toxicol Sci
Publication Year :
2019

Abstract

The U.S. Environmental Protection Agency (EPA) is faced with the challenge of efficiently and credibly evaluating chemical safety often with limited or no available toxicity data. The expanding number of chemicals found in commerce and the environment, coupled with time and resource requirements for traditional toxicity testing and exposure characterization, continue to underscore the need for new approaches. In 2005, EPA charted a new course to address this challenge by embracing computational toxicology (CompTox) and investing in the technologies and capabilities to push the field forward. The return on this investment has been demonstrated through results and applications across a range of human and environmental health problems, as well as initial application to regulatory decision-making within programs such as the EPA’s Endocrine Disruptor Screening Program. The CompTox initiative at EPA is more than a decade old. This manuscript presents a blueprint to guide the strategic and operational direction over the next 5 years. The primary goal is to obtain broader acceptance of the CompTox approaches for application to higher tier regulatory decisions, such as chemical assessments. To achieve this goal, the blueprint expands and refines the use of high-throughput and computational modeling approaches to transform the components in chemical risk assessment, while systematically addressing key challenges that have hindered progress. In addition, the blueprint outlines additional investments in cross-cutting efforts to characterize uncertainty and variability, develop software and information technology tools, provide outreach and training, and establish scientific confidence for application to different public health and environmental regulatory decisions.

Details

Language :
English
Database :
OpenAIRE
Journal :
Toxicol Sci
Accession number :
edsair.doi.dedup.....4069bfb12c1dbe14236fa4dd2045bed6