Selectivity Metrics
Selectivity Metrics is a methodological framework in computational chemistry and bioinformatics that quantifies the relative specificity of a molecule or agent in interacting with a target system over off-target systems, distinguishing it from general affinity measures by emphasizing discriminatory performance across multiple binding or functional outcomes.
307
Publications
18.9K
Citations
949
Authors
130
Institutions
Publications per year
2017–2026
13
Parents
307
1–5 of 307
949
5
h-index
4
h-index
4
h-index
4
h-index
4
h-index
1–5 of 949
130

University of Minnesota
Minneapolis, United States
4 h-index
4 publications
206 citations
University of Bonn
Bonn, Germany
4 h-index
12 publications
349 citations
Merck & Co., Inc., Rahway, NJ, USA (United States)
Rahway, United States
3 h-index
4 publications
185 citations
Scripps Research Institute
San Diego, United States
2 h-index
11 publications
403 citations
University of California, Berkeley
Berkeley, United States
2 h-index
9 publications
519 citations
Indiana University Bloomington
Bloomington, United States
2 h-index
6 publications
770 citations
Yale University
New Haven, United States
2 h-index
6 publications
102 citations
Development Bank of Japan
Tokyo, Japan
2 h-index
5 publications
364 citations
1–8 of 130
JACS · 113 publications · 8.4K citations
48
h-index
JOC · 89 publications · 3.9K citations
35
h-index
16 publications · 837 citations
14
h-index
12 publications · 571 citations
12
h-index
12 publications · 483 citations
11
h-index
1–5