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Evaluating Scalable Supervised Learning for Synthesize-on-Demand Chemical Libraries
[Image: see text] Traditional small-molecule drug discovery is a time-consuming and costly endeavor. High-throughput chemical screening can only assess a tiny fraction of drug-like chemical space. The strong predictive power of modern machine-learning methods for virtual chemical screening enables t...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10538940/ https://www.ncbi.nlm.nih.gov/pubmed/37625010 http://dx.doi.org/10.1021/acs.jcim.3c00912 |