Aromatic Feature Detection

Aromatic Feature Detection is a computational method in pharmacophore hypothesis generation that identifies aromatic ring systems within molecular structures based on their distinct electronic and geometric properties, serving as a critical structural feature for ligand-receptor interaction modeling.

13

Publications

284

Citations

40

Authors

27

Institutions

Publications per year

2017–2026

3

Authors

40

  1. AD
    Antonio De Marco

    Istituto di Chimica Biomolecolare, Italy

    1 publications · 38 citations

    1

    h-index

  2. RB
    Rodrigo Báez‐Grez

    Universidad Andrés Bello, Chile

    1 publications · 14 citations

    1

    h-index

  3. AL
    Ana Lončarić Božić

    University of Zagreb, Croatia

    1 publications · 16 citations

    1

    h-index

  4. RP
    Ricardo Pino‐Rios

    Universidad Andrés Bello, Chile

    1 publications · 14 citations

    1

    h-index

  5. LP
    László Patthy

    Institute of Molecular Life Sciences, Hungary

    1 publications · 38 citations

    1

    h-index

1–5 of 40

Venues

  1. Chemical Physics Letters

    2 publications · 31 citations

    2

    h-index

  2. BMC Bioinformatics

    1 publications · 22 citations

    1

    h-index

  3. Journal of Molecular Structure THEOCHEM

    1 publications · 14 citations

    1

    h-index

  4. Biochemistry

    1 publications · 38 citations

    1

    h-index

  5. Talanta

    1 publications · 28 citations

    1

    h-index

1–5