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Designing QSARs for Parameters of High-Throughput Toxicokinetic Models Using Open-Source Descriptors.
Dawson, Daniel E; Ingle, Brandall L; Phillips, Katherine A; Nichols, John W; Wambaugh, John F; Tornero-Velez, Rogelio.
Afiliação
  • Dawson DE; Office of Research and Development, Center for Computational Toxicology and Exposure, U.S. Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, North Carolina 27709, United States.
  • Ingle BL; Office of Research and Development, National Exposure Research Laboratory, U.S. Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, Durham, North Carolina 27709, United States.
  • Phillips KA; Office of Research and Development, Center for Computational Toxicology and Exposure, U.S. Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, North Carolina 27709, United States.
  • Nichols JW; Office of Research and Development, Center for Computational Toxicology and Exposure, U.S. Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, North Carolina 27709, United States.
  • Wambaugh JF; Office of Research and Development, Center for Computational Toxicology and Exposure, U.S. Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, North Carolina 27709, United States.
  • Tornero-Velez R; Office of Research and Development, Center for Computational Toxicology and Exposure, U.S. Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, North Carolina 27709, United States.
Environ Sci Technol ; 55(9): 6505-6517, 2021 05 04.
Article em En | MEDLINE | ID: mdl-33856768
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Relação Quantitativa Estrutura-Atividade / Modelos Biológicos Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Sci Technol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Relação Quantitativa Estrutura-Atividade / Modelos Biológicos Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Sci Technol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos