| Literature DB >> 30835285 |
Russell S Thomas1, Tina Bahadori2, Timothy J Buckley3, John Cowden1, Chad Deisenroth1, Kathie L Dionisio3, Jeffrey B Frithsen4, Christopher M Grulke1, Maureen R Gwinn1, Joshua A Harrill1, Mark Higuchi5, Keith A Houck1, Michael F Hughes5, E Sidney Hunter5, Kristin K Isaacs3, Richard S Judson1, Thomas B Knudsen1, Jason C Lambert6, Monica Linnenbrink1, Todd M Martin7, Seth R Newton3, Stephanie Padilla5, Grace Patlewicz1, Katie Paul-Friedman1, Katherine A Phillips3, Ann M Richard1, Reeder Sams1, Timothy J Shafer5, R Woodrow Setzer1, Imran Shah1, Jane E Simmons5, Steven O Simmons1, Amar Singh1, Jon R Sobus3, Mark Strynar3, Adam Swank3, Rogelio Tornero-Valez3, Elin M Ulrich3, Daniel L Villeneuve8, John F Wambaugh1, Barbara A Wetmore3, Antony J Williams1.
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. Published by Oxford University Press on behalf of the Society of Toxicology 2019.Entities:
Keywords: ExpoCast; Tox21; ToxCast; cheminformatics; computational toxicology; exposure; high-throughput assays; predictive toxicology; risk assessment; toxicokinetics
Mesh:
Year: 2019 PMID: 30835285 PMCID: PMC6542711 DOI: 10.1093/toxsci/kfz058
Source DB: PubMed Journal: Toxicol Sci ISSN: 1096-0929 Impact factor: 4.849