Activity Cliff Detection

Activity Cliff Detection is a computational method in structure-activity relationship analysis that identifies pairs of structurally similar compounds exhibiting a significant difference in biological activity, thereby delineating regions of abrupt potency change within chemical space.

61

Publications

2.7K

Citations

125

Authors

55

Institutions

Publications per year

2017–2026

19

Authors

125

  1. JB
    Jürgen Bajorath

    University of Bonn, Germany

    37 publications · 1.8K citations

    22

    h-index

  2. DS
    Dagmar Stumpfe

    University of Bonn, Germany

    12 publications · 1.1K citations

    11

    h-index

  3. YH
    Ye Hu

    University of Bonn, Germany

    11 publications · 731 citations

    10

    h-index

  4. JL
    José L. Medina‐Franco

    Universidad Nacional Autónoma de México, Mexico

    6 publications · 339 citations

    6

    h-index

  5. MV
    Martin Vogt

    University of Bonn, Germany

    5 publications · 323 citations

    5

    h-index

1–5 of 125

Venues

  1. Journal of Chemical Information and Modeling

    JCIM · 21 publications · 1K citations

    18

    h-index

  2. Journal of Medicinal Chemistry

    5 publications · 640 citations

    5

    h-index

  3. Journal of Computer-Aided Molecular Design

    4 publications · 106 citations

    4

    h-index

  4. Molecules

    3 publications · 61 citations

    3

    h-index

  5. Future Medicinal Chemistry

    FMC · 3 publications · 39 citations

    3

    h-index

1–5