Predictive Modeling of PROTAC Cell Permeability with Machine Learning.

Poongavanam, Vasanthanathan; Kölling, Florian; Giese, Anja; Göller, Andreas H; Lehmann, Lutz; Meibom, Daniel; Kihlberg, Jan

Poongavanam, Vasanthanathan; Kölling, Florian; Giese, Anja; Göller, Andreas H; Lehmann, Lutz; Meibom, Daniel; Kihlberg, Jan.

Afiliación

Poongavanam V; Department of Chemistry-BMC, Box 576, Uppsala University, 75123Uppsala, Sweden.
Kölling F; Computational Molecular Design, Bayer AG, 42096Wuppertal, Germany.
Giese A; Drug Discovery Sciences, Bayer AG, 13342Berlin, Germany.
Göller AH; Computational Molecular Design, Bayer AG, 42096Wuppertal, Germany.
Lehmann L; Drug Discovery Sciences, Bayer AG, 42113Wuppertal, Germany.
Meibom D; Drug Discovery Sciences, Bayer AG, 42113Wuppertal, Germany.
Kihlberg J; Department of Chemistry-BMC, Box 576, Uppsala University, 75123Uppsala, Sweden.

ACS Omega ; 8(6): 5901-5916, 2023 Feb 14.

Article en En | MEDLINE | ID: mdl-36816707

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: ACS Omega Año: 2023 Tipo del documento: Article País de afiliación: Suecia

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