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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical
Society
2021
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| 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 |