Template-based Fold Recognition
Template-Based Fold Recognition is a computational method in structural bioinformatics that identifies the three-dimensional fold of a protein by aligning its sequence to known structures in a template library, distinguished from other fold recognition approaches by its explicit reliance on experimentally determined structures as templates for modeling.
51
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3.6K
Citations
180
Authors
93
Institutions
Publications per year
2017–2026
6
Variants
Template-based Protein Fold Recognition
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Harbin Institute of Technology
Harbin, China
3 h-index
10 publications
376 citations
University of Missouri
Columbia, United States
3 h-index
7 publications
233 citations
Inserm
Paris, France
3 h-index
11 publications
674 citations
Université Paris Cité
Paris, France
2 h-index
9 publications
410 citations
Institute of Theoretical Physics
Beijing, China
2 h-index
2 publications
95 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
14 publications
665 citations
Institut National de la Transfusion Sanguine
Paris, France
2 h-index
9 publications
410 citations

City University of Hong Kong
Hong Kong, Hong Kong
2 h-index
2 publications
95 citations
1–8 of 93
15 publications · 1K citations
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6 publications · 799 citations
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PS · 5 publications · 186 citations
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3 publications · 49 citations
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3 publications · 65 citations
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