Ligand-based Selectivity Modeling

Ligand-Based Selectivity Modeling is a computational methodology in medicinal chemistry that predicts the selectivity profile of bioactive compounds by analyzing ligand structural and physicochemical features, differentiating it from structure-based approaches through its exclusive reliance on ligand data without requiring target protein structural information.

52

Publications

1.9K

Citations

211

Authors

106

Institutions

Publications per year

2017–2026

14

Authors

211

  1. GK
    G. Klebe

    Philipps University of Marburg, Germany

    3 publications · 78 citations

    3

    h-index

  2. MS
    Matthew S. Sigman

    University of Utah, United States

    3 publications · 219 citations

    3

    h-index

  3. MO
    Mutasem O. Taha

    University of Jordan, Jordan

    2 publications · 38 citations

    2

    h-index

  4. CT
    Claudiu T. Supuran

    University of Florence, Italy

    2 publications · 60 citations

    2

    h-index

  5. PN
    Per‐Ola Norrby

    University of Gothenburg, Sweden

    2 publications · 185 citations

    2

    h-index

1–5 of 211

Venues

  1. Journal of Chemical Information and Modeling

    JCIM · 9 publications · 352 citations

    9

    h-index

  2. Journal of Medicinal Chemistry

    6 publications · 325 citations

    6

    h-index

  3. Journal of Computer-Aided Molecular Design

    3 publications · 92 citations

    3

    h-index

  4. Journal of Molecular Graphics and Modelling

    3 publications · 60 citations

    3

    h-index

  5. Bioorganic & Medicinal Chemistry

    3 publications · 69 citations

    3

    h-index

1–5