Computational Polypharmacology
Computational Polypharmacology is a computational discipline that systematically models and predicts the interactions between pharmaceutical compounds and multiple biological targets simultaneously, integrating chemoinformatics and systems biology to elucidate drug action mechanisms beyond single-target paradigms.
93
Publications
6.4K
Citations
523
Authors
234
Institutions
Publications per year
2017–2026
52
93
Automated design of ligands to polypharmacological profiles
Jérémy Besnard, G.F. Ruda, Vincent Setola et al. · Nature · 2012 · 845 citations · Full text
Haibin Liu, Lirong Wang, Mingliang Lv et al. · Journal of Chemical Information and Modeling · 2014 · 229 citations · Full text
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234
University of North Carolina at Chapel Hill
Chapel Hill, United States
5 h-index
23 publications
4K citations
ETH Zurich
Zurich, Switzerland
5 h-index
12 publications
925 citations
University of Bonn
Bonn, Germany
5 h-index
10 publications
324 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
38 publications
2.7K citations

University of Helsinki
Helsinki, Finland
4 h-index
20 publications
1.2K citations
University of Bern
Bern, Switzerland
4 h-index
7 publications
783 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
4 h-index
11 publications
2K citations
Shanghai Institute of Materia Medica
Pudong, China
4 h-index
38 publications
2.7K citations
1–8 of 234
JCIM · 10 publications · 1.1K citations
10
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5 publications · 318 citations
5
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5 publications · 346 citations
5
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3 publications · 653 citations
3
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3 publications · 186 citations
3
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1–5