Computational Polypharmacology

Computational Polypharmacology is a computational discipline that systematically models and predicts the interactions between pharmaceutical compounds and multiple biological targets simultaneously, integrating chemoinformatics and systems biology to elucidate drug action mechanisms beyond single-target paradigms.

93

Publications

6.4K

Citations

523

Authors

234

Institutions

Publications per year

2017–2026

52

Authors

523

  1. GS
    Gisbert Schneider

    ETH Zurich, Switzerland

    6 publications · 492 citations

    6

    h-index

  2. JB
    Jürgen Bajorath

    University of Bonn, Germany

    5 publications · 148 citations

    5

    h-index

  3. JR
    Jean‐Louis Reymond

    University of Bern, Switzerland

    4 publications · 453 citations

    4

    h-index

  4. PS
    Petra Schneider

    ETH Zurich, Switzerland

    4 publications · 415 citations

    4

    h-index

  5. HJ
    Hualiang Jiang

    Shanghai Institute of Materia Medica, China

    4 publications · 380 citations

    4

    h-index

1–5 of 523

Venues

  1. Journal of Chemical Information and Modeling

    JCIM · 10 publications · 1.1K citations

    10

    h-index

  2. Bioinformatics

    5 publications · 318 citations

    5

    h-index

  3. PLoS Computational Biology

    5 publications · 346 citations

    5

    h-index

  4. Journal of Medicinal Chemistry

    3 publications · 653 citations

    3

    h-index

  5. Angewandte Chemie International Edition

    3 publications · 186 citations

    3

    h-index

1–5