Docking Decoy Generation

Docking Decoy Generation is the computational process of systematically creating structurally plausible but non-native ligand poses within a protein binding site to serve as negative examples for evaluating or training molecular docking algorithms.

64

Publications

9.5K

Citations

231

Authors

120

Institutions

Publications per year

2017–2026

13

Authors

231

  1. BK
    Brian K. Shoichet

    University of California, San Francisco, United States

    6 publications · 4.8K citations

    6

    h-index

  2. JJ
    John J. Irwin

    University of California, San Francisco, United States

    4 publications · 4.2K citations

    4

    h-index

  3. DK
    Daisuke Kihara

    Purdue University West Lafayette, United States

    4 publications · 261 citations

    4

    h-index

  4. IA
    Ilya A. Vakser

    University of Kansas, United States

    3 publications · 187 citations

    3

    h-index

  5. SL
    Stephan Lorenzen

    Bernhard Nocht Institute for Tropical Medicine, Germany

    3 publications · 118 citations

    3

    h-index

1–5 of 231

Venues

  1. Journal of Chemical Information and Modeling

    JCIM · 15 publications · 2.4K citations

    14

    h-index

  2. Proteins Structure Function and Bioinformatics

    15 publications · 705 citations

    13

    h-index

  3. Bioinformatics

    6 publications · 535 citations

    6

    h-index

  4. Journal of Medicinal Chemistry

    5 publications · 4.8K citations

    5

    h-index

  5. PLoS ONE

    3 publications · 84 citations

    3

    h-index

1–5