How Adverse Outcome Pathways Can Aid the Development and Use of Computational Prediction Models for Regulatory Toxicology.

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Published in Toxicol Sci on December 19, 2016

Authors

Clemens Wittwehr1, Hristo Aladjov2, Gerald Ankley3, Hugh J Byrne4, Joop de Knecht5, Elmar Heinzle6, Günter Klambauer7, Brigitte Landesmann8, Mirjam Luijten5, Cameron MacKay9, Gavin Maxwell9, M E Bette Meek10, Alicia Paini8, Edward Perkins11, Tomasz Sobanski12, Dan Villeneuve3, Katrina M Waters13, Maurice Whelan8

Author Affiliations

1: European Commission, Joint Research Centre, Ispra 21027, Italy; clemens.wittwehr@ec.europa.eu.
2: Bulgarian Academy of Sciences, Sofia 1113, Bulgaria.
3: US Environmental Protection Agency, Duluth, Minnesota 55804.
4: FOCAS Research Institute, Dublin 8, Ireland.
5: National Institute for Public Health and the Environment (RIVM), Bilthoven, MA 3721, The Netherlands.
6: Universität des Saarlandes, 66123 Saarbrücken, Germany.
7: Johannes Kepler Universität, Linz 4040, Austria.
8: European Commission, Joint Research Centre, Ispra 21027, Italy.
9: Unilever Safety and Environmenta Assurance Centre, Sharnbrook, MK44 1LQ, UK.
10: University of Ottawa, Ontario K1N 6N5, Canada.
11: US Army Engineer Research and Development Center, Vicksburg, Mississippi 39180.
12: European Chemicals Agency, ECHA, 00121 Helsinki, Finland.
13: Pacific Northwest National Laboratory, Richland, Washington 99352.

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