DILIMOT: discovery of linear motifs in proteins
Author(s) -
Victor Neduva,
Robert B. Russell
Publication year - 2006
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkl159
Subject(s) - biology , computational biology , sequence motif , set (abstract data type) , structural motif , statistic , motif (music) , conserved sequence , representation (politics) , sequence (biology) , genetics , bioinformatics , peptide sequence , computer science , gene , mathematics , biochemistry , statistics , physics , politics , acoustics , political science , law , programming language
Discovery of protein functional motifs is critical in modern biology. Small segments of 3-10 residues play critical roles in protein interactions, post-translational modifications and trafficking. DILIMOT (DIscovery of LInear MOTifs) is a server for the prediction of these short linear motifs within a set of proteins. Given a set of sequences sharing a common functional feature (e.g. interaction partner or localization) the method finds statistically over-represented motifs likely to be responsible for it. The input sequences are first passed through a set of filters to remove regions unlikely to contain instances of linear motifs. Motifs are then found in the remaining sequence and ranked according to a statistic that measure over-representation and conservation across homologues in related species. The results are displayed via a visual interface for easy perusal. The server is available at http://dilimot.embl.de.
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