Distance Constraint Averaging
Distance Constraint Averaging is a computational method in consensus pharmacophore modeling that integrates spatial constraints from multiple pharmacophore models by calculating the mean inter-feature distances to derive a refined, representative pharmacophore hypothesis.
5
Publications
174
Citations
14
Authors
9
Institutions
Publications per year
2017–2026
1
5
1–5 of 5
14
2
h-index
2
h-index
1
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1
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University of North Carolina at Charlotte, United States
1 publications · 33 citations
1
h-index
1–5 of 14
9

Cornell University
Ithaca, United States
2 h-index
4 publications
140 citations

University of North Carolina at Charlotte
Charlotte, United States
1 h-index
1 publications
33 citations

Australian National University
Canberra, Australia
1 h-index
1 publications
16 citations

University of Freiburg
Freiburg im Breisgau, Germany
1 h-index
3 publications
165 citations
City College of New York
New York, United States
1 h-index
1 publications
33 citations
California State Polytechnic University
Pomona, United States
1 h-index
1 publications
33 citations
California State University, Northridge
Northridge, United States
1 h-index
1 publications
33 citations
University of Florida
Gainesville, United States
1 h-index
1 publications
16 citations
1–8 of 9
2 publications · 70 citations
2
h-index
JMB · 1 publications · 33 citations
1
h-index
1 publications · 55 citations
1
h-index
1 publications · 16 citations
1
h-index
1 publications · 11 citations
1–5