Machine learning models identify molecules active against the Ebola virus in vitro [version 3; referees: 2 approved]
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
F1000 Research Ltd
2017-01-01
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| Series: | F1000Research |
| Subjects: | |
| Online Access: | https://f1000research.com/articles/4-1091/v3 |