Side Effect Network Analysis
Side Effect Network Analysis is a computational framework that maps and analyzes phenotypic associations between drugs and adverse effects by constructing networks of shared side effects to identify potential therapeutic repurposing opportunities.
24
Publications
2.4K
Citations
109
Authors
61
Institutions
Publications per year
2017–2026
11
Parents
24
Large-scale prediction and testing of drug activity on side-effect targets
Eugen Lounkine, Michael J. Keiser, Steven Whitebread et al. · Nature · 2012 · 897 citations · Full text
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61

Shanghai Maritime University
Shanghai, China
2 h-index
8 publications
660 citations

Tel Aviv University
Tel Aviv, Israel
2 h-index
7 publications
717 citations

Brigham and Women's Hospital
Boston, United States
2 h-index
5 publications
175 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
2 h-index
3 publications
143 citations
Harvard University
Cambridge, United States
2 h-index
5 publications
175 citations
Max Delbrück Center
Berlin, Germany
2 h-index
2 publications
227 citations
European Molecular Biology Laboratory
Hamburg, Germany
2 h-index
10 publications
1.1K citations

Gachon University
Seongnam-si, South Korea
2 h-index
5 publications
98 citations
1–8 of 61
2 publications · 230 citations
2
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1 publications · 66 citations
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1 publications · 41 citations
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PSP · 1 publications · 28 citations
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1 publications · 95 citations
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