Hasil Pencarian - Dimitar Yonchev

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  1. 1
    Integrating computational lead optimization diagnostics with analog design and candidate selection

    Integrating computational lead optimization diagnostics with analog design and candidate selection oleh Dimitar Yonchev, Jürgen Bajorath

    Diterbitkan 2020-03-01
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  2. 2
    Inhibitor bias in luciferase-based luminescence assays

    Inhibitor bias in luciferase-based luminescence assays oleh Dimitar Yonchev, Jürgen Bajorath

    Diterbitkan 2020-09-01
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  3. 3
    Structured data sets of compounds with multi-target and corresponding single-target activity from biological assays

    Structured data sets of compounds with multi-target and corresponding single-target activity from biological assays oleh Christian Feldmann, Dimitar Yonchev, Jürgen Bajorath

    Diterbitkan 2021-06-01
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  4. 4
    Analysis of Biological Screening Compounds with Single- or Multi-Target Activity via Diagnostic Machine Learning

    Analysis of Biological Screening Compounds with Single- or Multi-Target Activity via Diagnostic Machine Learning oleh Christian Feldmann, Dimitar Yonchev, Jürgen Bajorath

    Diterbitkan 2020-11-01
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  5. 5
    Identifying Promiscuous Compounds with Activity against Different Target Classes

    Identifying Promiscuous Compounds with Activity against Different Target Classes oleh Christian Feldmann, Filip Miljković, Dimitar Yonchev, Jürgen Bajorath

    Diterbitkan 2019-11-01
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  6. 6
    A preclinical secondary pharmacology resource illuminates target-adverse drug reaction associations of marketed drugs

    A preclinical secondary pharmacology resource illuminates target-adverse drug reaction associations of marketed drugs oleh Jeffrey J. Sutherland, Dimitar Yonchev, Alexander Fekete, Laszlo Urban

    Diterbitkan 2023-07-01
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  7. 7
    Computational Assessment of Chemical Saturation of Analogue Series under Varying Conditions

    Computational Assessment of Chemical Saturation of Analogue Series under Varying Conditions oleh Dimitar Yonchev, Martin Vogt, Dagmar Stumpfe, Ryo Kunimoto, Tomoyuki Miyao, Jürgen Bajorath

    Diterbitkan 2018-11-01
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  8. 8
    Predicting Isoform-Selective Carbonic Anhydrase Inhibitors via Machine Learning and Rationalizing Structural Features Important for Selectivity

    Predicting Isoform-Selective Carbonic Anhydrase Inhibitors via Machine Learning and Rationalizing Structural Features Important for Selectivity oleh Salvatore Galati, Dimitar Yonchev, Raquel Rodríguez-Pérez, Martin Vogt, Tiziano Tuccinardi, Jürgen Bajorath

    Diterbitkan 2021-01-01
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