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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...
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| Izdano u: | F1000Res |
|---|---|
| Glavni autori: | , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
F1000Research
2017
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4706063/ https://ncbi.nlm.nih.gov/pubmed/26834994 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.12688/f1000research.7217.3 |
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