Selectivity Metrics

Selectivity Metrics is a methodological framework in computational chemistry and bioinformatics that quantifies the relative specificity of a molecule or agent in interacting with a target system over off-target systems, distinguishing it from general affinity measures by emphasizing discriminatory performance across multiple binding or functional outcomes.

307

Publications

18.9K

Citations

949

Authors

130

Institutions

Publications per year

2017–2026

13

Authors

949

  1. KN
    K. N. Houk

    University of California, Los Angeles, United States

    5 publications · 598 citations

    5

    h-index

  2. CN
    Carl Niemann

    California Institute of Technology, United States

    4 publications · 217 citations

    4

    h-index

  3. JB
    Jürgen Bajorath

    University of Bonn, Germany

    4 publications · 109 citations

    4

    h-index

  4. GE
    George E. Hein

    California Institute of Technology, United States

    4 publications · 217 citations

    4

    h-index

  5. JJ
    J. J. Dannenberg

    City University of New York, United States

    4 publications · 158 citations

    4

    h-index

1–5 of 949

Venues

  1. Journal of the American Chemical Society

    JACS · 113 publications · 8.4K citations

    48

    h-index

  2. The Journal of Organic Chemistry

    JOC · 89 publications · 3.9K citations

    35

    h-index

  3. The Journal of Physical Chemistry

    16 publications · 837 citations

    14

    h-index

  4. Journal of Medicinal Chemistry

    12 publications · 571 citations

    12

    h-index

  5. Biochemistry

    12 publications · 483 citations

    11

    h-index

1–5