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Machine Learning Scoring Functions for Drug Discovery from Experimental and Computer-Generated Protein–Ligand Structures: Towards Per-Target Scoring Functions
In recent years, machine learning has been proposed as a promising strategy to build accurate scoring functions for computational docking finalized to numerically empowered drug discovery. However, the latest studies have suggested that over-optimistic results had been reported due to the correlatio...
Autores principales: | Pellicani, Francesco, Dal Ben, Diego, Perali, Andrea, Pilati, Sebastiano |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966217/ https://www.ncbi.nlm.nih.gov/pubmed/36838647 http://dx.doi.org/10.3390/molecules28041661 |
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