Knowledge-based Docking

Knowledge-Based Docking is a computational docking method that relies on empirically derived interaction preferences or statistical potentials from known protein complex structures to predict the binding modes of macromolecules.

71

Publications

4.8K

Citations

280

Authors

145

Institutions

Publications per year

2017–2026

22

Authors

280

  1. AM
    Alexandre M. J. J. Bonvin

    Utrecht University, Netherlands

    4 publications · 172 citations

    4

    h-index

  2. SH
    Sheng‐You Huang

    Huazhong University of Science and Technology, China

    4 publications · 182 citations

    4

    h-index

  3. HG
    Holger Gohlke

    Heinrich Heine University Düsseldorf, Germany

    4 publications · 272 citations

    4

    h-index

  4. PC
    Pablo Chacón

    Instituto de Química Física Blas Cabrera, Spain

    3 publications · 216 citations

    3

    h-index

  5. JG
    Jun‐tao Guo

    University of North Carolina at Charlotte, United States

    3 publications · 76 citations

    3

    h-index

1–5 of 280

Venues

  1. Proteins Structure Function and Bioinformatics

    11 publications · 552 citations

    11

    h-index

  2. Journal of Chemical Information and Modeling

    JCIM · 10 publications · 604 citations

    10

    h-index

  3. Bioinformatics

    9 publications · 635 citations

    9

    h-index

  4. Journal of Medicinal Chemistry

    5 publications · 784 citations

    5

    h-index

  5. BMC Bioinformatics

    4 publications · 231 citations

    4

    h-index

1–5