Structure-based Feature Identification

Structure-Based Feature Identification is a computational methodology in pharmacophore modeling that identifies spatially and chemically relevant molecular features by analyzing the three-dimensional structure of a target macromolecule or ligand-target complex, thereby distinguishing it from ligand-based approaches that rely solely on known active molecules.

62

Publications

3.2K

Citations

267

Authors

142

Institutions

Publications per year

2017–2026

23

Authors

267

  1. SA
    Shahid Akbar

    Abdul Wali Khan University Mardan, Pakistan

    3 publications · 147 citations

    3

    h-index

  2. FG
    Frank Glorius

    University of Münster, Germany

    2 publications · 322 citations

    2

    h-index

  3. FS
    Frederik Sandfort

    University of Münster, Germany

    2 publications · 322 citations

    2

    h-index

  4. MH
    Maqsood Hayat

    Abdul Wali Khan University Mardan, Pakistan

    2 publications · 102 citations

    2

    h-index

  5. AB
    Andreas Bender

    University of Cambridge, United Kingdom

    2 publications · 110 citations

    2

    h-index

1–5 of 267

Venues

  1. Journal of Chemical Information and Modeling

    JCIM · 4 publications · 192 citations

    4

    h-index

  2. Journal of Medicinal Chemistry

    3 publications · 103 citations

    3

    h-index

  3. Journal of Molecular Structure

    2 publications · 51 citations

    2

    h-index

  4. BioMed Research International

    2 publications · 41 citations

    2

    h-index

  5. 2

    h-index

1–5