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Balancing Data on Deep Learning-Based Proteochemometric Activity Classification

[Image: see text] In silico analysis of biological activity data has become an essential technique in pharmaceutical development. Specifically, the so-called proteochemometric models aim to share information between targets in machine learning ligand–target activity prediction models. However, bioac...

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Detalles Bibliográficos
Autores principales: Lopez-del Rio, Angela, Picart-Armada, Sergio, Perera-Lluna, Alexandre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594867/
https://www.ncbi.nlm.nih.gov/pubmed/33779173
http://dx.doi.org/10.1021/acs.jcim.1c00086