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
13
The linear response kernel of conceptual DFT as a measure of aromaticity
Nick Sablon, Frank De Proft, Miquel Solà et al. · Physical Chemistry Chemical Physics · 2012 · 67 citations
Natural Sciences, Chemistry, Physics +17
1–5 of 13
40
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27
University of Wisconsin–Madison
Madison, United States
1 h-index
2 publications
44 citations
Universität Hamburg
Hamburg, Germany
1 h-index
3 publications
33 citations

Hungarian Academy of Sciences
Budapest, Hungary
1 h-index
3 publications
114 citations

Universidad de Santiago de Chile
Santiago, Chile
1 h-index
1 publications
14 citations
Karlovac University of Applied Sciences
Karlovac, Croatia
1 h-index
1 publications
16 citations
Karo Pharma (Sweden)
Stockholm, Sweden
1 h-index
1 publications
15 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
1 publications
38 citations
The University of Tokyo
Tokyo, Japan
1 h-index
1 publications
12 citations
1–8 of 27
2 publications · 31 citations
2
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1 publications · 22 citations
1
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1 publications · 14 citations
1
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1 publications · 38 citations
1
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1 publications · 28 citations
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