Search Engine Scoring Functions
Search Engine Scoring Functions is a computational methodology used in protein database search that quantifies the likelihood of a query sequence matching a database sequence by assigning a numerical score based on sequence alignment features, substitution matrices, gap penalties, and statistical models to distinguish biologically significant alignments from random matches.
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Publications
393
Citations
22
Authors
9
Institutions
Publications per year
2017–2026
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5
<scp>D</scp>‐score: A search engine independent <scp>MD</scp>‐score
Marc Vaudel, Daniela Breiter, Florian Beck et al. · PROTEOMICS · 2013 · 49 citations · Full text
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Moscow Institute of Physics and Technology, Russia
1 publications · 69 citations
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Institute of Energy Problems of Chemical Physics, Russia
1 publications · 69 citations
1
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1
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1–5 of 22
9
Leibniz Institute for Analytical Sciences - ISAS
Dortmund, Germany
1 h-index
4 publications
196 citations
Fred Hutch Cancer Center
Seattle, United States
1 h-index
3 publications
654 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
3 publications
93 citations
Institute of Energy Problems of Chemical Physics
Moscow, Russia
1 h-index
8 publications
552 citations

Moscow Institute of Physics and Technology
Dolgoprudnyy, Russia
1 h-index
1 publications
69 citations
University of California, San Francisco
San Francisco, United States
1 h-index
1 publications
26 citations

Ghent University
Ghent, Belgium
1 h-index
1 publications
49 citations

University of British Columbia
Vancouver, Canada
1 h-index
1 publications
218 citations
1–8 of 9
JPR · 2 publications · 95 citations
2
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1 publications · 218 citations
1
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1 publications · 49 citations
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