Application of Artificial Neural Networks to Predict the Intrinsic Solubility of Drug-Like Molecules

Machine learning (ML) approaches are receiving increasing attention from pharmaceutical companies and regulatory agencies, given their ability to mine knowledge from available data. In drug discovery, for example, they are employed in quantitative structure–property relationship (QSPR) models to pre...

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Bibliographic Details
Main Authors: Elena M. Tosca, Roberta Bartolucci, Paolo Magni
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Pharmaceutics
Subjects:
Online Access:https://www.mdpi.com/1999-4923/13/7/1101