About: ELM—the database of eukaryotic linear motifs

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About: ELM—the database of eukaryotic linear motifs Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	ELM—the database of eukaryotic linear motifs
Creator	Haslam, Niall Schmidt, Tobias Altenberg, Brigitte Budd, Aidan Chica, Claudia Diella, Francesca Dinkel, Holger Dymecka, Magdalena Grebnev, Gleb Hammer, Maria Jehl, Peter Luck, Katja Meiselbach, Heike Michael, Sushama Schroeter, Christian Seiler, Markus Toedt, Grischa Uyar, Bora Via, Allegra Chatr-Aryamontri, Andrew Dammert, Marcel Davey, Norman Edwards, Richard Gibson, Toby Jö Dicke, Lisa Mcguigan, Caroline Roey, Kim Steinmetz, Michel Weatheritt, Robert
topic	covid:2a17719f2c1d211a651060441bda8bc1c052e2aa#this
Source	PMC
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.
has issue date	2011-11-21(xsd:dateTime)
bibo:doi	10.1093/nar/gkr1064
bibo:pmid	22110040
has license	cc-by-nc
sha1sum (hex)	2a17719f2c1d211a651060441bda8bc1c052e2aa
schema:url	https://doi.org/10.1093/nar/gkr1064
resource representing a document's title	ELM—the database of eukaryotic linear motifs
has PubMed Central identifier	PMC3245074
has PubMed identifier	22110040
schema:publication	Nucleic Acids Res
resource representing a document's body	covid:2a17719f2c1d211a651060441bda8bc1c052e2aa#body_text
is http://vocab.deri.ie/void#inDataset of	proxy:http/ns.inria.fr/covid19/2a17719f2c1d211a651060441bda8bc1c052e2aa
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