ELM--the database of eukaryotic linear motifs

Dinkel H, Michael S, Weatheritt RJ, Davey NE, Van Roey K, Altenberg B, Toedt G, Uyar B, Seiler M, Budd A, Joedicke L, Dammert MA, Schroeter C, Hammer M, Schmidt T, Jehl P, Mcguigan C, Dymecka M, Chica C, Luck K, Via A, Chatr-Aryamontri A, Haslam N, Grebnev G, Edwards RJ, Steinmetz MO, Meiselbach H, Diella F, Gibson TJ (2012)

Publication Type: Journal article

Publication year: 2012

Journal

Nucleic Acids Research Oxford University Press

Publisher: Oxford University Press (OUP): Policy C - Option B / Oxford University Press

Book Volume: 40

Pages Range: D242-D251

Journal Issue: D1

DOI: 10.1093/nar/gkr1064

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.

Authors with CRIS profile

Heike Meiselbach

Involved external institutions

European Molecular Biology Laboratory (EMBL) DE Germany (DE) Maria Skłodowska-Curie Institute of Oncology / Centrum Onkologii–Instytut im. Marii Skłodowskiej-Curie w Warszawie PL Poland (PL) French Alternative Energies and Atomic Energy Commission (CEA) FR France (FR) Université de Strasbourg (UDS) FR France (FR) Università degli studi "La Sapienza" IT Italy (IT) University of Edinburgh GB United Kingdom (GB) University College Dublin (UCD) IE Ireland (IE) University of Southampton GB United Kingdom (GB) Paul Scherrer Institute (PSI) CH Switzerland (CH)

How to cite

APA:

Dinkel, H., Michael, S., Weatheritt, R.J., Davey, N.E., Van Roey, K., Altenberg, B.,... Gibson, T.J. (2012). ELM--the database of eukaryotic linear motifs. Nucleic Acids Research, 40(D1), D242-D251. https://dx.doi.org/10.1093/nar/gkr1064

MLA:

Dinkel, Holger, et al. "ELM--the database of eukaryotic linear motifs." Nucleic Acids Research 40.D1 (2012): D242-D251.

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