Co-evolutionary Coupling Analysis
Co-Evolutionary Coupling Analysis is a computational method in protein structure prediction that identifies evolutionarily correlated mutations across protein sequences to infer spatial proximities in three-dimensional structures.
14
Publications
2.5K
Citations
61
Authors
39
Institutions
Publications per year
2017–2026
5
Variants
Direct Coupling Analysis
14
Protein 3D Structure Computed from Evolutionary Sequence Variation
Debora S. Marks, Lucy J. Colwell, Robert P. Sheridan et al. · PLoS ONE · 2011 · 1.2K citations · Full text
Sequence co-evolution gives 3D contacts and structures of protein complexes
Thomas A. Hopf, Charlotta Schärfe, Anna G. Green et al. · eLife · 2014 · 556 citations · Full text
Genomics-aided structure prediction
Joanna I. Sułkowska, Faruck Morcos, Martin Weigt et al. · Proceedings of the National Academy of Sciences · 2012 · 251 citations · Full text
CoinFold: a web server for protein contact prediction and contact-assisted protein folding
Sheng Wang, Wei Li, Renyu Zhang et al. · Nucleic Acids Research · 2016 · 64 citations · Full text
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Memorial Sloan Kettering Cancer Center
New York, United States
3 h-index
4 publications
3.1K citations
Harvard University
Cambridge, United States
3 h-index
10 publications
4.8K citations
Center for Systems Biology
Boston, United States
3 h-index
10 publications
4.8K citations
Utrecht University
Utrecht, The Netherlands
2 h-index
4 publications
1.2K citations

University of Tübingen
Tübingen, Germany
2 h-index
3 publications
1.1K citations
Technical University of Munich
Munich, Germany
2 h-index
2 publications
588 citations

University of Jyväskylä
Jyväskylä, Finland
1 h-index
3 publications
204 citations
The University of Texas at Austin
Austin, United States
1 h-index
2 publications
44 citations
1–8 of 39
2 publications · 45 citations
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1 publications · 68 citations
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Repository · 1 publications · 32 citations
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1 publications · 54 citations
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1 publications · 50 citations
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