Open AccessConditional Toxicity Value (CTV) Predictor: An In Silico Approach for Generating Quantitative Risk Estimates for Chemicals
Author(s) -
Jessica Wignall,
Eugene Muratov,
Alexander Sedykh,
Kathryn Z. Guyton,
Alexander Tropsha,
Ivan Rusyn,
Weihsueh A. Chiu
Publication year - 2018
Publication title -
environmental health perspectives
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.257
H-Index - 282
eISSN - 1552-9924
pISSN - 0091-6765
DOI - 10.1289/ehp2998
Subject(s) - quantitative structure–activity relationship , in silico , risk assessment , computer science , human health , chemical toxicity , toxicity , biochemical engineering , data mining , risk analysis (engineering) , machine learning , biology , chemistry , environmental health , business , medicine , biochemistry , computer security , organic chemistry , engineering , gene
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