The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency. (5th March 2019)
- Record Type:
- Journal Article
- Title:
- The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency. (5th March 2019)
- Main Title:
- The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency
- Authors:
- Thomas, Russell S
Bahadori, Tina
Buckley, Timothy J
Cowden, John
Deisenroth, Chad
Dionisio, Kathie L
Frithsen, Jeffrey B
Grulke, Christopher M
Gwinn, Maureen R
Harrill, Joshua A
Higuchi, Mark
Houck, Keith A
Hughes, Michael F
Hunter, E Sidney
Isaacs, Kristin K
Judson, Richard S
Knudsen, Thomas B
Lambert, Jason C
Linnenbrink, Monica
Martin, Todd M
Newton, Seth R
Padilla, Stephanie
Patlewicz, Grace
Paul-Friedman, Katie
Phillips, Katherine A
Richard, Ann M
Sams, Reeder
Shafer, Timothy J
Setzer, R Woodrow
Shah, Imran
Simmons, Jane E
Simmons, Steven O
Singh, Amar
Sobus, Jon R
Strynar, Mark
Swank, Adam
Tornero-Valez, Rogelio
Ulrich, Elin M
Villeneuve, Daniel L
Wambaugh, John F
Wetmore, Barbara A
Williams, Antony J
… (more) - Abstract:
- 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 blueprintAbstract: 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. … (more)
- Is Part Of:
- Toxicological sciences. Volume 169:Number 2(2019)
- Journal:
- Toxicological sciences
- Issue:
- Volume 169:Number 2(2019)
- Issue Display:
- Volume 169, Issue 2 (2019)
- Year:
- 2019
- Volume:
- 169
- Issue:
- 2
- Issue Sort Value:
- 2019-0169-0002-0000
- Page Start:
- 317
- Page End:
- 332
- Publication Date:
- 2019-03-05
- Subjects:
- computational toxicology -- predictive toxicology -- high-throughput assays -- toxicokinetics -- exposure -- risk assessment -- ToxCast -- ExpoCast -- Tox21 -- cheminformatics
Toxicology -- Periodicals
Toxicology -- Periodicals
Toxicology
Periodicals
615.9 - Journal URLs:
- http://www.sciencedirect.com/science/journal/10966080 ↗
http://toxsci.oxfordjournals.org/ ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/toxsci/kfz058 ↗
- Languages:
- English
- ISSNs:
- 1096-6080
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8873.031900
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16499.xml