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DILIMOT: discovery of linear motifs in proteins

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...

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Detalles Bibliográficos
Autores principales: Neduva, Victor, Russell, Robert B.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538856/
https://www.ncbi.nlm.nih.gov/pubmed/16845024
http://dx.doi.org/10.1093/nar/gkl159
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author Neduva, Victor
Russell, Robert B.
author_facet Neduva, Victor
Russell, Robert B.
author_sort Neduva, Victor
collection PubMed
description 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
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spelling pubmed-15388562006-08-18 DILIMOT: discovery of linear motifs in proteins Neduva, Victor Russell, Robert B. Nucleic Acids Res Article 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 Oxford University Press 2006-07-01 2006-07-14 /pmc/articles/PMC1538856/ /pubmed/16845024 http://dx.doi.org/10.1093/nar/gkl159 Text en © The Author 2006. Published by Oxford University Press. All rights reserved
spellingShingle Article
Neduva, Victor
Russell, Robert B.
DILIMOT: discovery of linear motifs in proteins
title DILIMOT: discovery of linear motifs in proteins
title_full DILIMOT: discovery of linear motifs in proteins
title_fullStr DILIMOT: discovery of linear motifs in proteins
title_full_unstemmed DILIMOT: discovery of linear motifs in proteins
title_short DILIMOT: discovery of linear motifs in proteins
title_sort dilimot: discovery of linear motifs in proteins
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538856/
https://www.ncbi.nlm.nih.gov/pubmed/16845024
http://dx.doi.org/10.1093/nar/gkl159
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