Docking Pose Clustering

Docking Pose Clustering is a computational method in molecular docking informatics that groups geometrically similar predicted ligand-binding conformations into distinct clusters to identify structurally representative binding modes.

16

Publications

1.3K

Citations

57

Authors

32

Institutions

Publications per year

2017–2026

4

Authors

57

  1. DR
    Didier Rognan

    Centre National de la Recherche Scientifique, France

    2 publications · 128 citations

    2

    h-index

  2. SF
    Sabiha Fatima

    King Saud University, Saudi Arabia

    1 publications · 14 citations

    1

    h-index

  3. RJ
    Robert J. Woods

    University of Georgia, United States

    1 publications · 73 citations

    1

    h-index

  4. LS
    Lu Sun

    Nanjing Forestry University, China

    1 publications · 11 citations

    1

    h-index

  5. SP
    Shiming Peng

    University of California, San Francisco, United States

    1 publications · 11 citations

    1

    h-index

1–5 of 57

Venues

  1. Journal of Chemical Information and Modeling

    JCIM · 3 publications · 187 citations

    3

    h-index

  2. Bioinformatics

    2 publications · 91 citations

    2

    h-index

  3. Proteins Structure Function and Bioinformatics

    2 publications · 191 citations

    2

    h-index

  4. PLoS ONE

    1 publications · 27 citations

    1

    h-index

  5. Biophysical Journal

    1 publications · 134 citations

    1

    h-index

1–5