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- Heo, SungKu; Safder, Usman; Yoo, ChangKyoo
- Environmental pollution 2019 v.253 pp. 29-38
- endocrine system, etc ; artificial intelligence; ecotoxicology; endocrine-disrupting chemicals; estrogen receptors; human health; humans; in vitro studies; models; quantitative analysis; quantitative structure-activity relationships; sex hormone-binding globulin; statistical analysis; Show all 13 Subjects
- ... Over 80,000 endocrine-disrupting chemicals (EDCs) are considered emerging contaminants (ECs), which are of great concern due to their effects on human health. Quantitative structure-activity relationship (QSAR) models are a promising alternative to in vitro methods to predict the toxicological effects of chemicals on human health. In this study, we assessed a deep-learning based QSAR (DL-QSAR) mod ...