Ligand-based Screening

Ligand-Based Screening is a computational drug repurposing approach that identifies new therapeutic uses for existing drugs by analyzing the structural and physicochemical similarities between known active ligands and candidate compounds, distinguishing it from target-based methods through its reliance on ligand similarity rather than protein target information.

790

Publications

39.6K

Citations

4.2K

Authors

1.2K

Institutions

Publications per year

2017–2026

334

Variants

LbvsLigand-based Virtual Screening

Authors

4.2K

  1. MO
    Mutasem O. Taha

    University of Jordan, Jordan

    12 publications · 353 citations

    12

    h-index

  2. JR
    Jean‐Louis Reymond

    University of Bern, Switzerland

    9 publications · 577 citations

    9

    h-index

  3. CD
    Claudio Dalvit

    Novartis (Switzerland), Switzerland

    9 publications · 1.2K citations

    9

    h-index

  4. NS
    Naomie Salim

    University of Technology Malaysia, Malaysia

    9 publications · 263 citations

    9

    h-index

  5. GS
    Gisbert Schneider

    ETH Zurich, Switzerland

    8 publications · 373 citations

    8

    h-index

1–5 of 4.2K

Venues

  1. Journal of Chemical Information and Modeling

    JCIM · 114 publications · 10.1K citations

    46

    h-index

  2. Journal of Medicinal Chemistry

    65 publications · 4K citations

    40

    h-index

  3. Scientific Reports

    21 publications · 781 citations

    19

    h-index

  4. Journal of Biomolecular Structure and Dynamics

    23 publications · 639 citations

    16

    h-index

  5. Bioorganic & Medicinal Chemistry Letters

    22 publications · 612 citations

    16

    h-index

1–5