Evidence map›Paper›PMID 22110040›Full record

ArticleNucleic acids research2012

ELM--the database of eukaryotic linear motifs.

Holger Dinkel, Sushama Michael, Robert J Weatheritt, Norman E Davey, Kim Van Roey, Brigitte Altenberg, Grischa Toedt, Bora Uyar, Markus Seiler, Aidan Budd and 19 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 193 papers.

0numbers the graph read from it
0cells of the map it votes in
193citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

193 citing papers in PubMed.

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  15. A PDZ scaffolding/CaM-mediated pathway in Cryptochrome signaling.Protein science : a publication of the Protein Society · 2024
    Article
  16. Article
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  20. Review

133 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

29 authors.

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

Funding

Biotechnology and Biological Sciences Research Council BB/F010486/1Biotechnology and Biological Sciences Research Council BB/I006230/1Biotechnology and Biological Sciences Research Council B/I006230/1
6 · The paper itself

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.

Indexed as

Amino Acid MotifsDatabases, ProteinComputer GraphicsDiseaseEukaryotaSequence Analysis, ProteinUser-Computer InterfaceViral ProteinsViral Proteins

Identifiers

PMID22110040
PMCPMC3245074

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.