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

2017-01-17

Abstract excerpt

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 infection model. There are millions of additional commercially-available molecules that could be screened for potential...

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Identifiers and source

Literature Corpus work
0b701136-a106-54e1-a2cd-48f45316e188
DOI
10.12688/f1000research.7217.3
Open publication

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Machine learning models identify molecules active against the Ebola virus in vitroDOI 10.12688/f1000research.7217.3
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