Structure-based Fold Recognition
Structure-Based Fold Recognition is a computational method that identifies the three-dimensional structural fold of a protein by directly comparing its experimentally determined or predicted structure against a database of known structural folds, distinguished from sequence-based approaches by relying on spatial rather than sequential homology.
188
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19.5K
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480
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220
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2017–2026
15
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Structure-based Protein Fold Recognition
Parents
188
The PSIPRED protein structure prediction server
Liam J. McGuffin, Kevin Bryson, David T. Jones · Bioinformatics · 2000 · 3.9K citations
A new approach to protein fold recognition
D. T. Jones, W. R. Taylort, Janet M. Thornton · Nature · 1992 · 1.2K citations
Can correct protein models be identified?
Björn Wallner, Arne Elofsson · Protein Science · 2003 · 715 citations · Full text
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Griffith University
Brisbane, Australia
12 h-index
43 publications
2.2K citations
University College London
London, United Kingdom
8 h-index
22 publications
3.9K citations
International Institute of Molecular and Cell Biology
Warsaw, Poland
8 h-index
36 publications
3.1K citations

University of the South Pacific
Suva, Fiji
6 h-index
11 publications
370 citations

Oak Ridge National Laboratory
Oak Ridge, United States
6 h-index
15 publications
1.3K citations

Beijing Institute of Technology
Beijing, China
5 h-index
9 publications
491 citations
University at Buffalo, State University of New York
Buffalo, United States
5 h-index
10 publications
872 citations
Ben-Gurion University of the Negev
Beersheba, Israel
5 h-index
7 publications
518 citations
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57 publications · 4.7K citations
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10 publications · 4.5K citations
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PS · 11 publications · 1.5K citations
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JMB · 9 publications · 983 citations
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8 publications · 2K citations
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