Docking Decoy Analysis

Docking Decoy Analysis is a computational evaluation method used in molecular docking that distinguishes true ligand poses from biologically implausible configurations by systematically assessing the ability of docking algorithms to prioritize native or near-native binding conformations against a set of decoy alternatives.

23

Publications

4.9K

Citations

112

Authors

48

Institutions

Publications per year

2017–2026

5

Authors

112

  1. BK
    Brian K. Shoichet

    University of California, San Francisco, United States

    4 publications · 4.1K citations

    4

    h-index

  2. JJ
    John J. Irwin

    University of California, San Francisco, United States

    2 publications · 3.7K citations

    2

    h-index

  3. TB
    Thijs Beuming

    Schrodinger (United States), United States

    1 publications · 49 citations

    1

    h-index

  4. WH
    Wail Hussein Ahmed Al-Ameer

    Wenzhou Medical University, China

    1 publications · 54 citations

    1

    h-index

  5. GK
    Ginger Kubish

    University of Michigan, United States

    1 publications · 125 citations

    1

    h-index

1–5 of 112

Venues

  1. Journal of Chemical Information and Modeling

    JCIM · 6 publications · 422 citations

    6

    h-index

  2. Proteins Structure Function and Bioinformatics

    5 publications · 203 citations

    5

    h-index

  3. Journal of Medicinal Chemistry

    4 publications · 4.1K citations

    4

    h-index

  4. Journal of Ethnopharmacology

    1 publications · 15 citations

    1

    h-index

  5. BMC Bioinformatics

    1 publications · 11 citations

    1

    h-index

1–5