Computational Screening

Computational Screening is a computational method that systematically evaluates large libraries of chemical or biological entities to identify promising candidates for experimental validation in drug discovery, distinguished from other hit identification approaches by its reliance on in silico simulations and predictive modeling rather than physical experimentation.

1.8K

Publications

98.2K

Citations

9.5K

Authors

2.4K

Institutions

Publications per year

2017–2026

1.1K

Variants

In Silico ScreeningVirtual Screening

Authors

9.5K

  1. SK
    Seda Keskın

    Koç University, Türkiye

    18 publications · 1.3K citations

    16

    h-index

  2. RQ
    Randall Q. Snurr

    Northwestern University, United States

    16 publications · 1.7K citations

    16

    h-index

  3. JB
    Jürgen Bajorath

    University of Bonn, Germany

    18 publications · 539 citations

    15

    h-index

  4. SE
    Sean Ekins

    Collaborations Pharmaceuticals (United States), United States

    15 publications · 1.2K citations

    15

    h-index

  5. AT
    Alexander Tropsha

    University of North Carolina at Chapel Hill, United States

    13 publications · 4K citations

    12

    h-index

1–5 of 9.5K

Venues

  1. Journal of Chemical Information and Modeling

    JCIM · 136 publications · 7.2K citations

    49

    h-index

  2. Journal of Medicinal Chemistry

    39 publications · 6.5K citations

    30

    h-index

  3. The Journal of Physical Chemistry C

    40 publications · 2.1K citations

    26

    h-index

  4. PLoS ONE

    37 publications · 1.4K citations

    23

    h-index

  5. Scientific Reports

    39 publications · 1.8K citations

    22

    h-index

1–5