Feature Perception

Feature Perception is a computational method in chemoinformatics that identifies and characterizes pharmacophoric features by distinguishing molecular substructures associated with biological activity from inert ones through pattern recognition and physicochemical property analysis.

43

Publications

1.4K

Citations

139

Authors

66

Institutions

Publications per year

2017–2026

23

Authors

139

  1. CK
    Christopher Kent

    University of Bristol, United Kingdom

    3 publications · 37 citations

    3

    h-index

  2. KL
    Koen Lamberts

    University of Warwick, United Kingdom

    3 publications · 37 citations

    3

    h-index

  3. JM
    Jochen Müsseler

    RWTH Aachen University, Germany

    2 publications · 91 citations

    2

    h-index

  4. JC
    James C. Johnston

    Ames Research Center, United States

    2 publications · 175 citations

    2

    h-index

  5. HP
    Harold Pashler

    University of California San Diego, United States

    2 publications · 175 citations

    2

    h-index

1–5 of 139

Venues

  1. 6

    h-index

  2. IEEE Access

    3 publications · 86 citations

    2

    h-index

  3. Journal of Speech Language and Hearing Research

    JSLHR · 2 publications · 69 citations

    2

    h-index

  4. Computational Visual Media

    1 publications · 26 citations

    1

    h-index

  5. Frontiers in Psychology

    1 publications · 35 citations

    1

    h-index

1–5