Your browser doesn't support javascript.
loading
Bayer's in silico ADMET platform: a journey of machine learning over the past two decades.
Göller, Andreas H; Kuhnke, Lara; Montanari, Floriane; Bonin, Anne; Schneckener, Sebastian; Ter Laak, Antonius; Wichard, Jörg; Lobell, Mario; Hillisch, Alexander.
Afiliação
  • Göller AH; Bayer AG, Pharmaceuticals, R&D, Computational Molecular Design, 42096 Wuppertal, Germany.
  • Kuhnke L; Bayer AG, Pharmaceuticals, R&D, Computational Molecular Design, 13342 Berlin, Germany.
  • Montanari F; Bayer AG, Pharmaceuticals, R&D, Machine Learning Research, 13342 Berlin, Germany.
  • Bonin A; Bayer AG, Pharmaceuticals, R&D, Computational Molecular Design, 42096 Wuppertal, Germany.
  • Schneckener S; Bayer AG, Engineering & Technology, Applied Mathematics, 51368 Leverkusen, Germany.
  • Ter Laak A; Bayer AG, Pharmaceuticals, R&D, Computational Molecular Design, 13342 Berlin, Germany.
  • Wichard J; Bayer AG, Pharmaceuticals, R&D, Genetic Toxicology, 13342 Berlin, Germany.
  • Lobell M; Bayer AG, Pharmaceuticals, R&D, Computational Molecular Design, 42096 Wuppertal, Germany.
  • Hillisch A; Bayer AG, Pharmaceuticals, R&D, Computational Molecular Design, 42096 Wuppertal, Germany. Electronic address: alexander.hillisch@bayer.com.
Drug Discov Today ; 25(9): 1702-1709, 2020 09.
Article em En | MEDLINE | ID: mdl-32652309

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Farmacocinética / Aprendizado de Máquina Limite: Animals / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Farmacocinética / Aprendizado de Máquina Limite: Animals / Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article