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ELM--the database of eukaryotic linear motifs.

ELM--the database of eukaryotic linear motifs.
ELM--the database of eukaryotic linear motifs.
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
0305-1048
D242-D251
Dinkel, Holger
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Michael, Sushama
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Weatheritt, Robert J
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Davey, Norman E
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Van Roey, Kim
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Altenberg, Brigitte
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Toedt, Grischa
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Uyar, Bora
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Seiler, Markus
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Budd, Aidan
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Jödicke, Lisa
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Dammert, Marcel A
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Schroeter, Christian
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Hammer, Maria
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Schmidt, Tobias
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Jehl, Peter
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McGuigan, Caroline
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Dymecka, Magdalena
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Chica, Claudia
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Luck, Katja
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Via, Allegra
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Chatr-Aryamontri, Andrew
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Haslam, Niall
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Grebnev, Gleb
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Edwards, Richard J
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Steinmetz, Michel O
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Meiselbach, Heike
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Diella, Francesca
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Gibson, Toby J
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Dinkel, Holger
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Michael, Sushama
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Weatheritt, Robert J
2129c8c6-afa5-4600-8d09-5f727b50b74a
Davey, Norman E
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Van Roey, Kim
a6974364-33df-40e8-8311-7d800bf5d249
Altenberg, Brigitte
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Toedt, Grischa
58d5aafa-02f7-46bc-b43f-6c3ad121e33a
Uyar, Bora
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Seiler, Markus
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Budd, Aidan
941e3ad8-8b3b-453c-bd6b-e385c11225f4
Jödicke, Lisa
171ec19b-8850-4a66-82c6-9cac03e6156d
Dammert, Marcel A
9195fdfe-a096-4e83-84de-2b3f9bb4fa12
Schroeter, Christian
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Hammer, Maria
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Schmidt, Tobias
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Jehl, Peter
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McGuigan, Caroline
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Dymecka, Magdalena
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Chica, Claudia
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Luck, Katja
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Via, Allegra
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Chatr-Aryamontri, Andrew
b8fc3ce2-a999-4c90-87c7-dad4afcde72a
Haslam, Niall
d4023afb-8897-4649-a6ea-996c3a9402cb
Grebnev, Gleb
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Edwards, Richard J
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Steinmetz, Michel O
6950147e-b635-4423-9eba-98a4dfdac990
Meiselbach, Heike
22c04c27-29b1-416d-9062-b4bfa5ed803f
Diella, Francesca
d0000876-3786-4f74-8a31-3ab2020b07b2
Gibson, Toby J
35ce3262-0ea4-49f7-8931-004d30dc1bb7

Dinkel, Holger, Michael, Sushama, Weatheritt, Robert J, Davey, Norman E, Van Roey, Kim, Altenberg, Brigitte, Toedt, Grischa, Uyar, Bora, Seiler, Markus, Budd, Aidan, Jödicke, Lisa, Dammert, Marcel A, Schroeter, Christian, Hammer, Maria, Schmidt, Tobias, Jehl, Peter, McGuigan, Caroline, Dymecka, Magdalena, Chica, Claudia, Luck, Katja, Via, Allegra, Chatr-Aryamontri, Andrew, Haslam, Niall, Grebnev, Gleb, Edwards, Richard J, Steinmetz, Michel O, Meiselbach, Heike, Diella, Francesca and Gibson, Toby J (2011) ELM--the database of eukaryotic linear motifs. Nucleic Acids Research, 40 (D1), D242-D251. (doi:10.1093/nar/gkr1064). (PMID:22110040)

Record type: Article

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

Full text not available from this repository.

More information

e-pub ahead of print date: 21 November 2011
Organisations: Molecular and Cellular, Centre for Biological Sciences

Identifiers

Local EPrints ID: 210853
URI: http://eprints.soton.ac.uk/id/eprint/210853
ISSN: 0305-1048
PURE UUID: f9dd9c28-9006-40dc-bc70-81d748997ff6

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Date deposited: 16 Feb 2012 11:48
Last modified: 16 Jul 2019 23:13

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Contributors

Author: Holger Dinkel
Author: Sushama Michael
Author: Robert J Weatheritt
Author: Norman E Davey
Author: Kim Van Roey
Author: Brigitte Altenberg
Author: Grischa Toedt
Author: Bora Uyar
Author: Markus Seiler
Author: Aidan Budd
Author: Lisa Jödicke
Author: Marcel A Dammert
Author: Christian Schroeter
Author: Maria Hammer
Author: Tobias Schmidt
Author: Peter Jehl
Author: Caroline McGuigan
Author: Magdalena Dymecka
Author: Claudia Chica
Author: Katja Luck
Author: Allegra Via
Author: Andrew Chatr-Aryamontri
Author: Niall Haslam
Author: Gleb Grebnev
Author: Richard J Edwards
Author: Michel O Steinmetz
Author: Heike Meiselbach
Author: Francesca Diella
Author: Toby J Gibson

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