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Bayesian Models for Screening and TB Mobile for Target Inference with Mycobacterium tuberculosis
The search for compounds active against Mycobacterium tuberculosis is reliant upon high throughput screening (HTS) in whole cells. We have used Bayesian machine learning models which can predict anti-tubercular activity to filter an internal library of over 150,000 compounds prior to in vitro testin...
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| Pubblicato in: | Tuberculosis (Edinb) |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2013
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4394018/ https://ncbi.nlm.nih.gov/pubmed/24440548 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.tube.2013.12.001 |
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