Target Deconvolution Algorithms
Target Deconvolution Algorithms is a computational methodology that systematically infers the molecular targets of bioactive compounds by reversing phenotypic responses through algorithmic integration of omics data, chemical profiles, and interaction networks.
36
Publications
2.7K
Citations
257
Authors
116
Institutions
Publications per year
2017–2026
19
Parents
36
The target landscape of clinical kinase drugs
Susan Klaeger, Stephanie Heinzlmeir, Mathias Wilhelm et al. · Science · 2017 · 871 citations · Full text
Medicine, Oncology, Pharmacology +15
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116

Karolinska Institutet
Stockholm, Sweden
4 h-index
16 publications
984 citations
Technical University of Munich
Munich, Germany
3 h-index
45 publications
18.9K citations
Science for Life Laboratory
Stockholm, Sweden
3 h-index
11 publications
684 citations
Eli Lilly (United States)
Indianapolis, United States
3 h-index
12 publications
255 citations
Heidelberg University
Heidelberg, Germany
3 h-index
20 publications
14.2K citations
Deutsches Konsortium für Translationale Krebsforschung
Heidelberg, Germany
3 h-index
19 publications
14.9K citations
German Cancer Research Center
Heidelberg, Germany
3 h-index
22 publications
15.1K citations
Novartis (China)
Beijing, China
2 h-index
2 publications
110 citations
1–8 of 116
JCIM · 3 publications · 393 citations
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Book series · 3 publications · 83 citations
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JPR · 3 publications · 68 citations
3
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3 publications · 291 citations
3
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2 publications · 65 citations
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