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.

ELM-the database of eukaryotic linear motifs / H., Dinkel; S., Michael; R. J., Weatheritt; N. E., Davey; K., Van Roey; B., Altenberg; G., Toedt; B., Uyar; M., Seiler; A., Budd; L., Jodicke; M. A., Dammert; C., Schroeter; M., Hammer; T., Schmidt; P., Jehl; C., Mcguigan; M., Dymecka; C., Chica; K., Luck; Via, Allegra; A., Chatr Aryamontri; N., Haslam; G., Grebnev; R. J., Edwards; M. O., Steinmetz; H., Meiselbach; F., Diella; T. J., Gibson. - In: NUCLEIC ACIDS RESEARCH. - ISSN 1362-4962. - STAMPA. - 40:Database Issue(2012), pp. D242-D251. [10.1093/nar/gkr1064]

ELM-the database of eukaryotic linear motifs

VIA, ALLEGRA;
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.
2012
01 Pubblicazione su rivista::01a Articolo in rivista
ELM-the database of eukaryotic linear motifs / H., Dinkel; S., Michael; R. J., Weatheritt; N. E., Davey; K., Van Roey; B., Altenberg; G., Toedt; B., Uyar; M., Seiler; A., Budd; L., Jodicke; M. A., Dammert; C., Schroeter; M., Hammer; T., Schmidt; P., Jehl; C., Mcguigan; M., Dymecka; C., Chica; K., Luck; Via, Allegra; A., Chatr Aryamontri; N., Haslam; G., Grebnev; R. J., Edwards; M. O., Steinmetz; H., Meiselbach; F., Diella; T. J., Gibson. - In: NUCLEIC ACIDS RESEARCH. - ISSN 1362-4962. - STAMPA. - 40:Database Issue(2012), pp. D242-D251. [10.1093/nar/gkr1064]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/442906
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