Structure-based Target Discovery

Structure-Based Target Discovery is a computational or experimental method that identifies potential biological targets for a given compound by analyzing its three-dimensional molecular structure in relation to known target binding sites, leveraging structural complementarity to infer target specificity.

143

Publications

8K

Citations

1.1K

Authors

384

Institutions

Publications per year

2017–2026

74

Authors

1.1K

  1. JJ
    John J. Irwin

    University of California, San Francisco, United States

    7 publications · 851 citations

    7

    h-index

  2. BK
    Brian K. Shoichet

    University of California, San Francisco, United States

    7 publications · 851 citations

    7

    h-index

  3. GS
    Gisbert Schneider

    ETH Zurich, Switzerland

    4 publications · 155 citations

    4

    h-index

  4. YS
    Yurii S. Moroz

    Taras Shevchenko National University of Kyiv, Ukraine

    3 publications · 194 citations

    3

    h-index

  5. DR
    Daniel Reker

    ETH Zurich, Switzerland

    3 publications · 121 citations

    3

    h-index

1–5 of 1.1K

Venues

  1. Journal of Medicinal Chemistry

    19 publications · 1.8K citations

    19

    h-index

  2. European Journal of Medicinal Chemistry

    9 publications · 269 citations

    9

    h-index

  3. Bioorganic & Medicinal Chemistry Letters

    5 publications · 134 citations

    5

    h-index

  4. Journal of Chemical Information and Modeling

    JCIM · 4 publications · 214 citations

    4

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 4 publications · 579 citations

    4

    h-index

1–5