Computational Hit Identification

Computational Hit Identification is a systematic approach in drug discovery that, as a distinct methodological framework, leverages computational models and algorithms to prioritize biologically active compounds from large-scale chemical or biological datasets based on specific molecular interaction criteria and target engagement predictions.

95

Publications

4.2K

Citations

639

Authors

246

Institutions

Publications per year

2017–2026

55

Publications

95

1–5 of 95

Authors

639

  1. JB
    Jürgen Bajorath

    University of Bonn, Germany

    5 publications · 198 citations

    5

    h-index

  2. RA
    Robert Abel

    Schrodinger (United States), United States

    4 publications · 198 citations

    4

    h-index

  3. DS
    Dagmar Stumpfe

    University of Bonn, Germany

    3 publications · 160 citations

    3

    h-index

  4. JX
    Jie Xia

    Chinese Academy of Medical Sciences & Peking Union Medical College, China

    3 publications · 39 citations

    3

    h-index

  5. SW
    Song Wu

    Chinese Academy of Medical Sciences & Peking Union Medical College, China

    3 publications · 39 citations

    3

    h-index

1–5 of 639

Venues

  1. Journal of Chemical Information and Modeling

    JCIM · 16 publications · 572 citations

    13

    h-index

  2. Journal of Medicinal Chemistry

    7 publications · 384 citations

    7

    h-index

  3. ChemMedChem

    5 publications · 216 citations

    5

    h-index

  4. Journal of Cheminformatics

    4 publications · 202 citations

    4

    h-index

  5. Molecules

    3 publications · 134 citations

    3

    h-index

1–5