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Design of Biopharmaceutical Formulations Accelerated by Machine Learning.
Narayanan, Harini; Dingfelder, Fabian; Condado Morales, Itzel; Patel, Bhargav; Heding, Kristine Enemærke; Bjelke, Jais Rose; Egebjerg, Thomas; Butté, Alessandro; Sokolov, Michael; Lorenzen, Nikolai; Arosio, Paolo.
Afiliação
  • Narayanan H; Department of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering, Swiss Federal Institute of Technology, 8093 Zurich, Switzerland.
  • Dingfelder F; Department of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering, Swiss Federal Institute of Technology, 8093 Zurich, Switzerland.
  • Condado Morales I; Department of Biophysics and Injectable Formulation, Global Research Technologies, Novo Nordisk A/S, Måløv 2760, Denmark.
  • Patel B; Department of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering, Swiss Federal Institute of Technology, 8093 Zurich, Switzerland.
  • Heding KE; Department of Biophysics and Injectable Formulation, Global Research Technologies, Novo Nordisk A/S, Måløv 2760, Denmark.
  • Bjelke JR; Department of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering, Swiss Federal Institute of Technology, 8093 Zurich, Switzerland.
  • Egebjerg T; Department of Biophysics and Injectable Formulation, Global Research Technologies, Novo Nordisk A/S, Måløv 2760, Denmark.
  • Butté A; Department of Purification Technologies, Global Research Technologies, Novo Nordisk A/S, Måløv 2760, Denmark.
  • Sokolov M; Department of Mammalian Expression, Global Research Technologies, Novo Nordisk A/S, Måløv 2760, Denmark.
  • Lorenzen N; DataHow AG, Zürichstrasse 137, 8600 Dübendorf, Switzerland.
  • Arosio P; DataHow AG, Zürichstrasse 137, 8600 Dübendorf, Switzerland.
Mol Pharm ; 18(10): 3843-3853, 2021 10 04.
Article em En | MEDLINE | ID: mdl-34519511
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Produtos Biológicos / Composição de Medicamentos / Aprendizado de Máquina Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Mol Pharm Assunto da revista: BIOLOGIA MOLECULAR / FARMACIA / FARMACOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suíça
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Produtos Biológicos / Composição de Medicamentos / Aprendizado de Máquina Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Mol Pharm Assunto da revista: BIOLOGIA MOLECULAR / FARMACIA / FARMACOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Suíça