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Machine Learning Platform to Discover Novel Growth Inhibitors of Neisseria gonorrhoeae

PURPOSE: To advance fundamental biological and translational research with the bacterium Neisseria gonorrhoeae through the prediction of novel small molecule growth inhibitors via naïve Bayesian modeling methodology. METHODS: Inspection and curation of data from the publicly available ChEMBL web sit...

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Bibliografische gegevens
Gepubliceerd in:Pharm Res
Hoofdauteurs: Pereira, Janaina Cruz, Daher, Samer S., Zorn, Kimberley M., Sherwood, Matthew, Russo, Riccardo, Perryman, Alexander L., Wang, Xin, Freundlich, Madeleine J., Ekins, Sean, Freundlich, Joel S.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2020
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8274436/
https://ncbi.nlm.nih.gov/pubmed/32661900
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11095-020-02876-y
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