Machine learning models identify molecules active against the Ebola virus in vitro

The search for small molecule inhibitors of Ebola virus (EBOV) has led to several high throughput screens over the past 3 years. These have identified a range of FDA-approved active pharmaceutical ingredients (APIs) with anti-EBOV activity in vitro and several of which are also active in a mouse inf...

Descripción completa

Detalles Bibliográficos
Autores principales: Ekins, Sean, Freundlich, Joel S., Clark, Alex M., Anantpadma, Manu, Davey, Robert A., Madrid, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4706063/
https://www.ncbi.nlm.nih.gov/pubmed/26834994
http://dx.doi.org/10.12688/f1000research.7217.3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4706063/
https://www.ncbi.nlm.nih.gov/pubmed/26834994
http://dx.doi.org/10.12688/f1000research.7217.3

Ejemplares similares