Diversity Space Analysis

Diversity Space Analysis is a computational method in chemical library design that characterizes the structural and chemical variability among compounds by mapping them into a multidimensional space, where the distribution and coverage of molecular features are systematically evaluated to ensure broad representation and minimize redundancy.

41

Publications

4.8K

Citations

139

Authors

60

Institutions

Publications per year

2017–2026

18

Authors

139

  1. JL
    José L. Medina‐Franco

    Universidad Nacional Autónoma de México, Mexico

    8 publications · 508 citations

    8

    h-index

  2. KM
    Kevin Maik Jablonka

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 774 citations

    3

    h-index

  3. DO
    Daniele Ongari

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 774 citations

    3

    h-index

  4. SM
    Seyed Mohamad Moosavi

    École Polytechnique Fédérale de Lausanne, Switzerland

    3 publications · 774 citations

    3

    h-index

  5. BS
    Berend Smit

    University of California, Berkeley, United States

    3 publications · 774 citations

    3

    h-index

1–5 of 139

Venues

  1. Journal of Chemical Information and Modeling

    JCIM · 9 publications · 695 citations

    9

    h-index

  2. 6

    h-index

  3. F1000Research

    2 publications · 115 citations

    2

    h-index

  4. Journal of Combinatorial Chemistry

    2 publications · 50 citations

    2

    h-index

  5. Journal of Computer-Aided Molecular Design

    2 publications · 527 citations

    2

    h-index

1–5