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Identification of Potential PBT/POP-Like Chemicals by a Deep Learning Approach Based on 2D Structural Features.
Sun, Xiangfei; Zhang, Xianming; Muir, Derek C G; Zeng, Eddy Y.
  • Sun X; Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China.
  • Zhang X; Department of Physical and Environmental Sciences, University of Toronto, 1265 Military Trail, Toronto, Ontario Canada, M1C 1A4.
  • Muir DCG; Environment and Climate Change Canada, Aquatic Contaminants Research Division, 867 Lakeshore Road, Burlington, Ontario Canada L7S 1A.
  • Zeng EY; Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China.
Environ Sci Technol ; 54(13): 8221-8231, 2020 07 07.
Article en En | MEDLINE | ID: mdl-32484664
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Contaminantes Ambientales / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2020 Tipo del documento: Article
Texto completo
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PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Contaminantes Ambientales / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2020 Tipo del documento: Article