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Ebola Virus Bayesian Machine Learning Models Enable New in Vitro Leads
[Image: see text] We have previously described the first Bayesian machine learning models from FDA-approved drug screens, for identifying compounds active against the Ebola virus (EBOV). These models led to the identification of three active molecules in vitro: tilorone, pyronaridine, and quinacrine...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6356859/ https://www.ncbi.nlm.nih.gov/pubmed/30729228 http://dx.doi.org/10.1021/acsomega.8b02948 |