Activity Cliff Detection
Activity Cliff Detection is a computational method in structure-activity relationship analysis that identifies pairs of structurally similar compounds exhibiting a significant difference in biological activity, thereby delineating regions of abrupt potency change within chemical space.
61
Publications
2.7K
Citations
125
Authors
55
Institutions
Publications per year
2017–2026
19
Parents
61
Exploring Activity Cliffs in Medicinal Chemistry
Dagmar Stumpfe, Jürgen Bajorath · Journal of Medicinal Chemistry · 2012 · 365 citations · Full text
Lisa Peltason, Preeti Iyer, Jürgen Bajorath · Journal of Chemical Information and Modeling · 2010 · 84 citations
Natural Resources, Landscape Architecture, Landscape Metrics +12
1–5 of 61
125
22
h-index
11
h-index
10
h-index
6
h-index
5
h-index
1–5 of 125
55
University of Bonn
Bonn, Germany
22 h-index
93 publications
5.3K citations
Universidad Nacional Autónoma de México
Mexico City, Mexico
3 h-index
6 publications
152 citations
Mayo Clinic in Arizona
Scottsdale, United States
2 h-index
2 publications
204 citations
Indiana University Bloomington
Bloomington, United States
2 h-index
3 publications
105 citations

Nara Institute of Science and Technology
Ikoma, Japan
2 h-index
6 publications
114 citations
Torrey Pines Institute For Molecular Studies
San Diego, United States
2 h-index
11 publications
369 citations
University of Jordan
Amman, Jordan
2 h-index
3 publications
38 citations
National Center for Advancing Translational Sciences
Rockville, United States
2 h-index
2 publications
53 citations
1–8 of 55
JCIM · 21 publications · 1K citations
18
h-index
5 publications · 640 citations
5
h-index
4 publications · 106 citations
4
h-index
3 publications · 61 citations
3
h-index
FMC · 3 publications · 39 citations
3
h-index
1–5