Computational Interaction Scoring
Computational Interaction Scoring is a computational method that quantifies the likelihood or strength of physical interactions between protein pairs based on predictive models, distinguishing it from experimental or qualitative interaction assessment approaches within protein-protein interaction analysis.
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20.8K
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164
Authors
83
Institutions
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2017–2026
8
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Damian Szklarczyk, Katerina Nastou, David Lyon et al. · Nucleic Acids Research · 2020 · 8.6K citations · Full text
Charlotte M. Deane, Łukasz Salwiński, Ioannis Xénarios et al. · Molecular & Cellular Proteomics · 2002 · 648 citations · Full text
An experimentally derived confidence score for binary protein-protein interactions
Pascal Falter‐Braun, Murat Taşan, Matija Dreze et al. · Nature Methods · 2008 · 451 citations · Full text
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83

Chinese Academy of Sciences
Beijing, China
4 h-index
25 publications
1.8K citations
Max Delbrück Center
Berlin, Germany
3 h-index
8 publications
19.4K citations
European Molecular Biology Laboratory
Hamburg, Germany
3 h-index
3 publications
17.4K citations
Wayne State University
Detroit, United States
3 h-index
6 publications
202 citations
Harvard University
Cambridge, United States
2 h-index
12 publications
5.3K citations
University of Zurich
Zurich, Switzerland
2 h-index
10 publications
86.8K citations
The University of Tokyo
Tokyo, Japan
2 h-index
4 publications
601 citations
Novo Nordisk Foundation
Copenhagen, Denmark
2 h-index
10 publications
86.8K citations
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5 publications · 17.6K citations
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2 publications · 254 citations
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2 publications · 179 citations
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2 publications · 616 citations
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JMB · 2 publications · 289 citations
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