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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Detalles Bibliográficos
Autores principales: Tosca, Elena M., Bartolucci, Roberta, Magni, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309152/
https://www.ncbi.nlm.nih.gov/pubmed/34371792
http://dx.doi.org/10.3390/pharmaceutics13071101

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309152/
https://www.ncbi.nlm.nih.gov/pubmed/34371792
http://dx.doi.org/10.3390/pharmaceutics13071101

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