High-throughput Screening Databases

High-Throughput Screening Databases is a specialized type of chemogenomics database that systematically archives large-scale experimental screening data generated from automated assays to enable the identification of bioactive compounds and their molecular targets.

156

Publications

14.6K

Citations

901

Authors

292

Institutions

Publications per year

2017–2026

77

Authors

901

  1. SE
    Sean Ekins

    Collaborations Pharmaceuticals (United States), United States

    7 publications · 436 citations

    8

    h-index

  2. SH
    Stephen H. Bryant

    National Center for Biotechnology Information, United States

    7 publications · 1.3K citations

    7

    h-index

  3. TC
    Tiejun Cheng

    National Center for Biotechnology Information, United States

    4 publications · 1.1K citations

    4

    h-index

  4. FJ
    Frederick J. King

    Genomics Institute of the Novartis Research Foundation, United States

    4 publications · 128 citations

    4

    h-index

  5. TR
    Thomas R. Lane

    Collaborations Pharmaceuticals (United States), United States

    3 publications · 170 citations

    4

    h-index

1–5 of 901

Venues

  1. Nucleic Acids Research

    15 publications · 4.1K citations

    14

    h-index

  2. Journal of Chemical Information and Modeling

    JCIM · 13 publications · 496 citations

    13

    h-index

  3. Bioinformatics

    6 publications · 442 citations

    6

    h-index

  4. Nature Communications

    4 publications · 734 citations

    5

    h-index

  5. BMC Bioinformatics

    5 publications · 230 citations

    5

    h-index

1–5