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Development of an in silico prediction system of human renal excretion and clearance from chemical structure information incorporating fraction unbound in plasma as a descriptor.
Watanabe, Reiko; Ohashi, Rikiya; Esaki, Tsuyoshi; Kawashima, Hitoshi; Natsume-Kitatani, Yayoi; Nagao, Chioko; Mizuguchi, Kenji.
Afiliação
  • Watanabe R; Laboratory of Bioinformatics, AI Center for Health and Biomedical Research, National Institute of Biomedical Innovation Health and Nutrition, Osaka, Japan. reiko-watanabe@nibiohn.go.jp.
  • Ohashi R; Laboratory of Bioinformatics, AI Center for Health and Biomedical Research, National Institute of Biomedical Innovation Health and Nutrition, Osaka, Japan. rikiya-ohashi@nibiohn.go.jp.
  • Esaki T; Discovery Technology Laboratories, Mitsubishi Tanabe Pharma Corporation, Saitama, Japan. rikiya-ohashi@nibiohn.go.jp.
  • Kawashima H; Laboratory of Bioinformatics, AI Center for Health and Biomedical Research, National Institute of Biomedical Innovation Health and Nutrition, Osaka, Japan.
  • Natsume-Kitatani Y; The Center for Data Science Education and Research, Shiga University, Shiga, Japan.
  • Nagao C; Laboratory of Bioinformatics, AI Center for Health and Biomedical Research, National Institute of Biomedical Innovation Health and Nutrition, Osaka, Japan.
  • Mizuguchi K; Laboratory of Bioinformatics, AI Center for Health and Biomedical Research, National Institute of Biomedical Innovation Health and Nutrition, Osaka, Japan.
Sci Rep ; 9(1): 18782, 2019 12 11.
Article em En | MEDLINE | ID: mdl-31827176
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Simulação por Computador / Farmacocinética / Eliminação Renal Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Simulação por Computador / Farmacocinética / Eliminação Renal Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article