TY - JOUR T1 - ELM--the database of eukaryotic linear motifs. JF - Nucleic Acids Res Y1 - 2012 A1 - Holger Dinkel A1 - Michael, Sushama A1 - Robert J Weatheritt A1 - Norman E Davey A1 - Kim Van Roey A1 - Brigitte Altenberg A1 - Grischa Toedt A1 - Bora Uyar A1 - Markus Seiler A1 - Aidan Budd A1 - Lisa Jödicke A1 - Marcel A Dammert A1 - Christian Schroeter A1 - Maria Hammer A1 - Tobias Schmidt A1 - Peter Jehl A1 - Caroline McGuigan A1 - Magdalena Dymecka A1 - Claudia Chica A1 - Katja Luck A1 - Allegra Via A1 - Andrew Chatr-Aryamontri A1 - Niall Haslam A1 - Gleb Grebnev A1 - Richard J Edwards A1 - Michel O Steinmetz A1 - Heike Meiselbach A1 - Francesca Diella A1 - Toby J Gibson KW - Amino Acid Motifs KW - Computer Graphics KW - Databases, Protein KW - disease KW - Eukaryota KW - Sequence Analysis, Protein KW - User-Computer Interface KW - Viral Proteins AB -

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.

VL - 40 CP - Database issue M3 - 10.1093/nar/gkr1064 ER -