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Global Analysis of Deep Learning Prediction Using Large-Scale In-House Kinome-Wide Profiling Data
[Image: see text] In drug discovery, the prediction of activity and absorption, distribution, metabolism, excretion, and toxicity parameters is one of the most important approaches in determining which compound to synthesize next. In recent years, prediction methods based on deep learning as well as...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9178758/ https://www.ncbi.nlm.nih.gov/pubmed/35694454 http://dx.doi.org/10.1021/acsomega.2c00664 |