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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| Format: | Online |
| Language: | English |
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Oxford University Press
2006
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538856/ |
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pubmed-1538856 |
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pubmed-15388562006-08-18 DILIMOT: discovery of linear motifs in proteins Neduva, Victor Russell, Robert B. 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 |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Neduva, Victor Russell, Robert B. |
| spellingShingle |
Neduva, Victor Russell, Robert B. DILIMOT: discovery of linear motifs in proteins |
| author_facet |
Neduva, Victor Russell, Robert B. |
| author_sort |
Neduva, Victor |
| title |
DILIMOT: discovery of linear motifs in proteins |
| title_short |
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_sort |
dilimot: discovery of linear motifs in proteins |
| 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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| publisher |
Oxford University Press |
| publishDate |
2006 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1538856/ |
| _version_ |
1611386432836861952 |