Multi-target Selectivity

Multi-Target Selectivity is a design principle in computational and systems science that refers to the capacity of a single mechanism, model, or intervention to differentially and precisely engage multiple distinct targets while minimizing off-target effects, thereby enabling simultaneous modulation or analysis of several entities within complex networks.

45

Publications

1.7K

Citations

320

Authors

131

Institutions

Publications per year

2017–2026

25

Authors

320

  1. JB
    Jürgen Bajorath

    University of Bonn, Germany

    4 publications · 122 citations

    4

    h-index

  2. MB
    Manuela Bartolini

    University of Bologna, Italy

    3 publications · 82 citations

    3

    h-index

  3. VA
    Vincenza Andrisano

    University of Bologna, Italy

    2 publications · 64 citations

    2

    h-index

  4. SC
    Sı́lvia Chaves

    University of Lisbon, Portugal

    2 publications · 54 citations

    2

    h-index

  5. CA
    Cosimo Altomare

    University of Bari Aldo Moro, Italy

    2 publications · 74 citations

    2

    h-index

1–5 of 320

Venues

  1. Molecules

    3 publications · 93 citations

    3

    h-index

  2. Bioorganic Chemistry

    2 publications · 73 citations

    2

    h-index

  3. Journal of Ethnopharmacology

    2 publications · 84 citations

    2

    h-index

  4. Bioorganic & Medicinal Chemistry

    2 publications · 68 citations

    2

    h-index

  5. Bioorganic & Medicinal Chemistry Letters

    2 publications · 82 citations

    2

    h-index

1–5