Ligand-based Feature Identification

Ligand-Based Feature Identification is a computational method in pharmacophore modeling that infers spatial and chemical features essential for molecular activity by analyzing the structural properties of known ligands, without requiring prior knowledge of the target protein's three-dimensional structure.

41

Publications

1.9K

Citations

180

Authors

89

Institutions

Publications per year

2017–2026

11

Authors

180

  1. JN
    Jeremy N. Harvey

    University of Bristol, United Kingdom

    2 publications · 290 citations

    2

    h-index

  2. NF
    Natalie Fey

    University of Bristol, United Kingdom

    2 publications · 290 citations

    2

    h-index

  3. RC
    Robert C. Glen

    University of Cambridge, United Kingdom

    2 publications · 66 citations

    2

    h-index

  4. YX
    Ying Xue

    Sichuan University, China

    2 publications · 66 citations

    2

    h-index

  5. AO
    A.G. Orpen

    University of Bristol, United Kingdom

    2 publications · 290 citations

    2

    h-index

1–5 of 180

Venues

  1. Journal of Chemical Information and Modeling

    JCIM · 4 publications · 133 citations

    4

    h-index

  2. 2

    h-index

  3. European Journal of Medicinal Chemistry

    2 publications · 83 citations

    2

    h-index

  4. Journal of Molecular Graphics and Modelling

    2 publications · 97 citations

    2

    h-index

  5. Journal of Molecular Structure

    2 publications · 51 citations

    2

    h-index

1–5