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Predicting modes of toxic action from chemical structure
Author(s) -
Russom Christine L.,
Bradbury Steven P.,
Broderius Steven J.,
Hammermeister Dean J.,
Drummond Robert A.,
Veith Gilman D.
Publication year - 2013
Publication title -
environmental toxicology and chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.1
H-Index - 171
eISSN - 1552-8618
pISSN - 0730-7268
DOI - 10.1002/etc.2249
Subject(s) - minnow , quantitative structure–activity relationship , triclocarban , aquatic toxicology , agency (philosophy) , computer science , relevance (law) , chemical safety , risk assessment , database , biochemical engineering , toxicology , chemistry , engineering , toxicity , biology , triclosan , fish <actinopterygii> , machine learning , medicine , philosophy , computer security , organic chemistry , epistemology , pathology , fishery , political science , law
CHRISTINE L. RUSSOM,*y STEVEN P. BRADBURY,z STEVEN J. BRODERIUS**,y DEAN J. HAMMERMEISTER,y ROBERT A. DRUMMOND**,y and GILMAN D. VEITH**y yUS Environmental Protection Agency, National Health and Environmental Effects Research Laboratory, Mid-Continent Ecology Division, Office of Research and Development, Duluth, Minnesota, USA zUS Environmental Protection Agency, Office of Pesticide Programs, Office of Chemical Safety and Pollution Prevention, Washington, DC, USA