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High-throughput Screening and Bayesian Machine Learning for Copper-dependent Inhibitors of Staphylococcus aureus
One potential source of new antibacterials is through probing existing chemical libraries for copper-dependent inhibitors (CDIs), i.e., molecules with antibiotic activity only in the presence of copper. Recently, our group demonstrated that previously unknown staphylococcal CDIs were frequently pres...
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| Publicado no: | Metallomics |
|---|---|
| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6467072/ https://ncbi.nlm.nih.gov/pubmed/30839007 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1039/c8mt00342d |
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