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A computational strategy for the prediction of functional linear peptide motifs in proteins
Author(s) -
Holger Dinkel,
Heinrich Sticht
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm524
Subject(s) - sequence (biology) , computational biology , sequence motif , computer science , protein sequencing , sequence logo , structural motif , sequence alignment , peptide sequence , algorithm , biology , genetics , gene , biochemistry
Short linear peptide motifs mediate protein-protein interaction, cell compartment targeting and represent the sites of post-translational modification. The identification of functional motifs by conventional sequence searches, however, is hampered by the short length of the motifs resulting in a large number of hits of which only a small portion is functional.

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