Virtual Screening

Virtual Screening is a computational method in drug discovery that systematically evaluates large libraries of chemical compounds through molecular modeling techniques to prioritize those with the highest predicted affinity for a target biomolecule, distinguishing it from experimental screening by enabling in silico prioritization of potential drug candidates based on structural and physicochemical complementarity.

9.5K

Publications

538.5K

Citations

36.2K

Authors

5.8K

Institutions

Publications per year

2017–2026

5.2K

Authors

36.2K

  1. GS
    Gisbert Schneider

    ETH Zurich, Switzerland

    62 publications · 4.6K citations

    35

    h-index

  2. HJ
    Hualiang Jiang

    Shanghai Institute of Materia Medica, China

    47 publications · 2.9K citations

    33

    h-index

  3. AT
    Alexander Tropsha

    University of North Carolina at Chapel Hill, United States

    40 publications · 5.1K citations

    32

    h-index

  4. TH
    Tingjun Hou

    Zhejiang University, China

    60 publications · 3.4K citations

    32

    h-index

  5. TL
    Thierry Langer

    Universität Innsbruck, Austria

    43 publications · 4.5K citations

    30

    h-index

1–5 of 36.2K

Venues

  1. Journal of Chemical Information and Modeling

    JCIM · 873 publications · 63.7K citations

    111

    h-index

  2. Journal of Medicinal Chemistry

    365 publications · 40.8K citations

    94

    h-index

  3. Journal of Cheminformatics

    144 publications · 10.7K citations

    54

    h-index

  4. Journal of Computer-Aided Molecular Design

    207 publications · 21.2K citations

    52

    h-index

  5. Journal of Biomolecular Structure and Dynamics

    283 publications · 9K citations

    49

    h-index

1–5