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...

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Detalles Bibliográficos
Autores principales: Anantpadma, Manu, Lane, Thomas, Zorn, Kimberley M., Lingerfelt, Mary A., Clark, Alex M., Freundlich, Joel S., Davey, Robert A., Madrid, Peter B., Ekins, Sean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2019
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

Internet

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

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