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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Main Authors: | Riccardo Aguti (Author), Erika Gardini (Author), Martina Bertazzo (Author), Sergio Decherchi (Author), Andrea Cavalli (Author) |
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Format: | Book |
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Frontiers Media S.A.,
2022-06-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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