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ELM--the database of eukaryotic linear motifs

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Download Dinkel_et_al._-_2011.pdf12.89 MB
Author(s)
Dinkel, Holger 
Michael, Sushama 
Weatheritt, Robert J. 
Davey, Norman E. 
Van Roey, Kim 
Altenberg, Brigitte 
Toedt, Grischa 
Uyar, Bora 
Seiler, Markus 
Budd, Aidan 
Jödicke, Lisa 
Dammert, Marcel A. 
Schroeter, Christian 
Hammer, Maria 
Schmidt, Tobias 
Jehl, Peter 
McGuigan, Caroline 
Dymecka, Magdalena 
Chica, Claudia 
Luck, Katja 
Via, Allegra 
Chatr-aryamontri, Andrew 
Haslam, Niall J. 
Grebnev, Gleb 
Edwards, Richard J. 
Steinmetz, Michel O. 
Meiselbach, Heike 
Diella, Francesca 
Gibson, Toby J. 
Uri
http://hdl.handle.net/10197/3943
Date Issued
January 2012
Date Available
03T14:46:39Z December 2012
Abstract
Linear motifs are short, evolutionarily plastic components of regulatory proteins and provide low-affinity interaction interfaces. These compact modules play central roles in mediating every aspect of the regulatory functionality of the cell. They are particularly prominent in mediating cell signaling, controlling protein turnover and directing protein localization. Given their importance, our understanding of motifs is surprisingly limited, largely as a result of the difficulty of discovery, both experimentally and computationally. The Eukaryotic Linear Motif (ELM) resource at http://elm.eu.org provides the biological community with a comprehensive database of known experimentally validated motifs, and an exploratory tool to discover putative linear motifs in user-submitted protein sequences. The current update of the ELM database comprises 1800 annotated motif instances representing 170 distinct functional classes, including approximately 500 novel instances and 24 novel classes. Several older motif class entries have been also revisited, improving annotation and adding novel instances. Furthermore, addition of full-text search capabilities, an enhanced interface and simplified batch download has improved the overall accessibility of the ELM data. The motif discovery portion of the ELM resource has added conservation, and structural attributes have been incorporated to aid users to discriminate biologically relevant motifs from stochastically occurring non-functional instances.
Type of Material
Journal Article
Publisher
OUP
Journal
Nucleic Acids Research
Volume
40
Issue
Database Issue 1
Start Page
1
End Page
51
Copyright (Published Version)
2011 The Author(s)
Subject – LCSH
Amino acid sequence--Databases
DOI
10.1093/nar/gkr1064
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Medicine Research Collection
Scopus© citations
249
Acquisition Date
Mar 19, 2023
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