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Probabilistic Pocket Druggability Prediction via One-Class Learning

The choice of target pocket is a key step in a drug discovery campaign. This step can be supported by in silico druggability prediction. In the literature, druggability prediction is often approached as a two-class classification task that distinguishes between druggable and non-druggable (or less d...

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Detalles Bibliográficos
Autores principales: Aguti, Riccardo, Gardini, Erika, Bertazzo, Martina, Decherchi, Sergio, Cavalli, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278401/
https://www.ncbi.nlm.nih.gov/pubmed/35847005
http://dx.doi.org/10.3389/fphar.2022.870479