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In silico prediction of potential drug-induced nephrotoxicity with machine learning methods.
Gong, Yuning; Teng, Dan; Wang, Yimeng; Gu, Yaxin; Wu, Zengrui; Li, Weihua; Tang, Yun; Liu, Guixia.
Afiliação
  • Gong Y; Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai, China.
  • Teng D; Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai, China.
  • Wang Y; Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai, China.
  • Gu Y; Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai, China.
  • Wu Z; Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai, China.
  • Li W; Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai, China.
  • Tang Y; Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai, China.
  • Liu G; Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai, China.
J Appl Toxicol ; 42(10): 1639-1650, 2022 10.
Article em En | MEDLINE | ID: mdl-35429013
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Appl Toxicol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
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PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Appl Toxicol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China