Hasil Pencarian - Kimberley M. Zorn

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  1. 1
    Correction to “Using Bibliometric Analysis and Machine Learning to Identify Compounds Binding to Sialidase-1”

    Correction to “Using Bibliometric Analysis and Machine Learning to Identify Compounds Binding to Sialidase-1” oleh Jennifer J. Klein, Nancy C. Baker, Daniel H. Foil, Kimberley M. Zorn, Fabio Urbina, Ana C. Puhl, Sean Ekins

    Diterbitkan 2021-06-01
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  2. 2
    Using Bibliometric Analysis and Machine Learning to Identify Compounds Binding to Sialidase‑1

    Using Bibliometric Analysis and Machine Learning to Identify Compounds Binding to Sialidase‑1 oleh Jennifer J. Klein, Nancy C. Baker, Daniel H. Foil, Kimberley M. Zorn, Fabio Urbina, Ana C. Puhl, Sean Ekins

    Diterbitkan 2021-01-01
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  3. 3
    Computational Approaches to Identify Molecules Binding to Mycobacterium tuberculosis KasA

    Computational Approaches to Identify Molecules Binding to Mycobacterium tuberculosis KasA oleh Ana C. Puhl, Thomas R. Lane, Patricia A. Vignaux, Kimberley M. Zorn, Glenn C. Capodagli, Matthew B. Neiditch, Joel S. Freundlich, Sean Ekins

    Diterbitkan 2020-11-01
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  4. 4
    Ebola Virus Bayesian Machine Learning Models Enable New in Vitro Leads

    Ebola Virus Bayesian Machine Learning Models Enable New in Vitro Leads oleh Manu Anantpadma, Thomas Lane, Kimberley M. Zorn, Mary A. Lingerfelt, Alex M. Clark, Joel S. Freundlich, Robert A. Davey, Peter B. Madrid, Sean Ekins

    Diterbitkan 2019-01-01
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