High-throughput Screening Design

High-Throughput Screening Design is a systematic methodological framework within selection pressure design that enables the rapid, parallel evaluation of large-scale variant libraries through automated experimental or computational protocols to identify optimal candidates based on predefined selection criteria.

107

Publications

4.9K

Citations

586

Authors

203

Institutions

Publications per year

2017–2026

27

Authors

586

  1. HH
    Helen H. Wang

    Harvard University, United States

    2 publications · 27 citations

    2

    h-index

  2. KE
    Kristin Entzian

    University of Rostock, Germany

    2 publications · 44 citations

    2

    h-index

  3. IA
    Ian A. Watson

    Eli Lilly (United States), United States

    2 publications · 135 citations

    2

    h-index

  4. DK
    David Kaber

    North Carolina State University, United States

    2 publications · 44 citations

    2

    h-index

  5. HZ
    Huimin Zhao

    University of Illinois Urbana-Champaign, United States

    2 publications · 177 citations

    2

    h-index

1–5 of 586

Venues

  1. SLAS DISCOVERY

    8 publications · 423 citations

    8

    h-index

  2. Analytical Biochemistry

    4 publications · 181 citations

    4

    h-index

  3. Scientific Reports

    4 publications · 184 citations

    4

    h-index

  4. Analytical Chemistry

    3 publications · 127 citations

    3

    h-index

  5. Journal of Chemical Information and Modeling

    JCIM · 2 publications · 66 citations

    2

    h-index

1–5