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Poor Generalization by Current Deep Learning Models for Predicting Binding Affinities of Kinase Inhibitors

The extreme surge of interest over the past decade surrounding the use of neural networks has inspired many groups to deploy them for predicting binding affinities of drug-like molecules to their receptors. A model that can accurately make such predictions has the potential to screen large chemical...

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Detalles Bibliográficos
Autores principales: Ong, Wern Juin Gabriel, Kirubakaran, Palani, Karanicolas, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508770/
https://www.ncbi.nlm.nih.gov/pubmed/37732243
http://dx.doi.org/10.1101/2023.09.04.556234