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ELM--the database of eukaryotic linear motifs

Authors :
Katja Luck
Aidan Budd
Gleb Grebnev
Sushama Michael
Tobias Schmidt
Grischa Toedt
Michel O. Steinmetz
Norman E. Davey
Caroline McGuigan
Bora Uyar
Andrew Chatr-aryamontri
Toby J. Gibson
Brigitte Altenberg
Kim Van Roey
Christian Schroeter
Niall J. Haslam
Claudia Chica
Francesca Diella
Marcel Andre Dammert
Magdalena Dymecka
Peter Jehl
Lisa Jödicke
Richard Edwards
Markus Seiler
Robert J. Weatheritt
Maria Hammer
Heike Meiselbach
Allegra Via
Holger Dinkel
Source :
Nucleic Acids Research (London), Nucleic Acids Research, Nucleic acids research
Publication Year :
2012
Publisher :
OUP, 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. Author has checked copyright DG 09/11/12 Names (!) JG 2012-11-26

Details

Language :
English
Database :
OpenAIRE
Journal :
Nucleic Acids Research (London), Nucleic Acids Research, Nucleic acids research
Accession number :
edsair.doi.dedup.....7a54291cfd0f577554640e00b9f4c552