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...
Main Authors: | Francesco Pellicani, Diego Dal Ben, Andrea Perali, Sebastiano Pilati |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
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Series: | Molecules |
Subjects: | |
Online Access: | https://www.mdpi.com/1420-3049/28/4/1661 |
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