Multi-target Selectivity
Multi-Target Selectivity is a design principle in computational and systems science that refers to the capacity of a single mechanism, model, or intervention to differentially and precisely engage multiple distinct targets while minimizing off-target effects, thereby enabling simultaneous modulation or analysis of several entities within complex networks.
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2017–2026
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A multi-target approach for pain treatment
Monika Mrugala, Wioletta Makuch, Natalia Kołosowska et al. · Pain · 2015 · 66 citations
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University of Bonn
Bonn, Germany
5 h-index
12 publications
325 citations

University of Bologna
Bologna, Italy
3 h-index
23 publications
596 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
9 publications
302 citations
Rede de Química e Tecnologia
Porto, Portugal
2 h-index
10 publications
350 citations

Universidade Federal do Rio de Janeiro
Rio de Janeiro, Brazil
2 h-index
10 publications
414 citations
University of Bari Aldo Moro
Bari, Italy
2 h-index
20 publications
688 citations
Tianjin University of Traditional Chinese Medicine
Tianjin, China
2 h-index
11 publications
587 citations
Jagiellonian University
Krakow, Poland
2 h-index
11 publications
256 citations
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3 publications · 93 citations
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2 publications · 73 citations
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2 publications · 84 citations
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2 publications · 68 citations
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