Predictive Modeling of PROTAC Cell Permeability with Machine Learning

[Image: see text] Approaches for predicting proteolysis targeting chimera (PROTAC) cell permeability are of major interest to reduce resource-demanding synthesis and testing of low-permeable PROTACs. We report a comprehensive investigation of the scope and limitations of machine learning-based binar...

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Detalles Bibliográficos
Autores principales: Poongavanam, Vasanthanathan, Kölling, Florian, Giese, Anja, Göller, Andreas H., Lehmann, Lutz, Meibom, Daniel, Kihlberg, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933238/
https://www.ncbi.nlm.nih.gov/pubmed/36816707
http://dx.doi.org/10.1021/acsomega.2c07717

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933238/
https://www.ncbi.nlm.nih.gov/pubmed/36816707
http://dx.doi.org/10.1021/acsomega.2c07717

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