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Computational prediction models for assessing endocrine disrupting potential of chemicals.
Sakkiah, Sugunadevi; Guo, Wenjing; Pan, Bohu; Kusko, Rebecca; Tong, Weida; Hong, Huixiao.
Afiliação
  • Sakkiah S; a Division of Bioinformatics and Biostatistics , National Center for Toxicological Research, U.S. Food and Drug Administration , Jefferson , Arkansas , USA.
  • Guo W; a Division of Bioinformatics and Biostatistics , National Center for Toxicological Research, U.S. Food and Drug Administration , Jefferson , Arkansas , USA.
  • Pan B; a Division of Bioinformatics and Biostatistics , National Center for Toxicological Research, U.S. Food and Drug Administration , Jefferson , Arkansas , USA.
  • Kusko R; b Immuneering Corporation , Cambridge , Massachusetts , USA.
  • Tong W; a Division of Bioinformatics and Biostatistics , National Center for Toxicological Research, U.S. Food and Drug Administration , Jefferson , Arkansas , USA.
  • Hong H; a Division of Bioinformatics and Biostatistics , National Center for Toxicological Research, U.S. Food and Drug Administration , Jefferson , Arkansas , USA.
J Environ Sci Health C Environ Carcinog Ecotoxicol Rev ; 36(4): 192-218, 2018.
Article em En | MEDLINE | ID: mdl-30633647
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Simulação por Computador / Testes de Toxicidade / Poluentes Ambientais / Disruptores Endócrinos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Simulação por Computador / Testes de Toxicidade / Poluentes Ambientais / Disruptores Endócrinos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article