Machine Learning For Threading
Machine Learning for Threading is a computational methodology within the field of protein structure prediction that employs machine learning models to infer the optimal structural template for a target protein sequence by learning from the patterns of sequence-structure compatibility in known protein folds.
8
Publications
310
Citations
16
Authors
11
Institutions
Publications per year
2017–2026
1
Parents
8
Michał Bryliński, Jeffrey Skolnick · Proteins Structure Function and Bioinformatics · 2010 · 101 citations · Full text
Boosting Protein Threading Accuracy
Jian Peng, Jinbo Xu · Lecture notes in computer science · 2009 · 76 citations
Protein Structure Prediction Using Threading
Jinbo Xu, Libo Yu · Humana Press eBooks · 2008 · 32 citations
Iksoo Chang, Marek Cieplak, Ruxandra I. Dima et al. · Proceedings of the National Academy of Sciences · 2001 · 32 citations · Full text
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11
Toyota Technological Institute at Chicago
Chicago, United States
3 h-index
4 publications
195 citations
Louisiana State University
Baton Rouge, United States
2 h-index
3 publications
82 citations
Georgia Institute of Technology
Atlanta, United States
1 h-index
2 publications
202 citations
Bioinformatics Solutions (Canada)
Waterloo, Canada
1 h-index
1 publications
11 citations
Tecnalia
Donostia / San Sebastian, Spain
1 h-index
1 publications
11 citations

University of Waterloo
Waterloo, Canada
1 h-index
1 publications
11 citations
Center for Theoretical Physics
Warsaw, Poland
1 h-index
5 publications
160 citations

Universidad de Burgos
Burgos, Spain
1 h-index
2 publications
22 citations
1–8 of 11
1 publications · 12 citations
1
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Ebook platform · 1 publications · 32 citations
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LNCS · Book series · 1 publications · 76 citations
1
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PNAS · 1 publications · 32 citations
1
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1 publications · 101 citations
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