Computational Interface Prediction
Computational Interface Prediction is a computational method that identifies and characterizes the specific regions of interaction between two proteins by analyzing their structural, evolutionary, and physicochemical properties to predict the binding interface within a protein-protein complex.
213
Publications
16.8K
Citations
644
Authors
312
Institutions
Publications per year
2017–2026
62
Parents
213
Computational Alanine Scanning of Protein-Protein Interfaces
Tanja Kortemme, David E. Kim, David Baker · Science s STKE · 2004 · 612 citations
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Utrecht University
Utrecht, The Netherlands
10 h-index
23 publications
3.7K citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
22 publications
954 citations

Tel Aviv University
Tel Aviv, Israel
7 h-index
13 publications
1.5K citations
Koç University
Istanbul, Türkiye
7 h-index
22 publications
3.2K citations

Howard Hughes Medical Institute
Chevy Chase, United States
7 h-index
20 publications
3.6K citations
Iowa State University
Ames, United States
7 h-index
34 publications
2.7K citations
ETH Zurich
Zurich, Switzerland
6 h-index
12 publications
1.4K citations
Columbia University
New York, United States
5 h-index
15 publications
1.8K citations
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22 publications · 1.5K citations
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24 publications · 2K citations
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20 publications · 1.7K citations
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14 publications · 1.6K citations
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11 publications · 739 citations
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