Predictive Proteomics
Predictive Proteomics is a computational and analytical framework within translational proteomics that specifically enables the forecasting of clinical phenotypes or therapeutic outcomes through the systematic quantification and modeling of dynamic protein expression patterns and post-translational modifications in biological systems.
192
Publications
13.4K
Citations
1.6K
Authors
631
Institutions
Publications per year
2017–2026
124
Parents
192
PredGPI: a GPI-anchor predictor
Andrea Pierleoni, Pier Luigi Martelli, Rita Casadio · BMC Bioinformatics · 2008 · 678 citations · Full text
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University of Cambridge
Cambridge, United Kingdom
10 h-index
32 publications
2.3K citations
University College London
London, United Kingdom
8 h-index
34 publications
3.5K citations
Technical University of Munich
Munich, Germany
7 h-index
9 publications
547 citations
Stanford University
Stanford, United States
7 h-index
43 publications
2K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
11 publications
686 citations
Duke University
Durham, United States
5 h-index
21 publications
697 citations

University of British Columbia
Vancouver, Canada
5 h-index
22 publications
29.4K citations
Inserm
Paris, France
5 h-index
18 publications
559 citations
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18 publications · 4.4K citations
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7 publications · 218 citations
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7 publications · 918 citations
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7 publications · 454 citations
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6 publications · 563 citations
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