ELM 2016—data update and new functionality of the eukaryotic linear motif resource

By Holger Dinkel, K. Roey, S. Michael, Manjeet Kumar, B. Uyar, B. Altenberg, Vladislava Milchevskaya, Melanie Schneider, Helen Kühn, A. Behrendt and 14 more. Nucleic Acids Res., 2015

307 citations recorded by the source corpus.

The Eukaryotic Linear Motif (ELM) resource (http://elm.eu.org) is a manually curated database of short linear motifs (SLiMs). In this update, we present the latest additions to this resource, along with more improvements to the web interface. ELM 2016 contains more than 240 different motif classes with over 2700 experimentally validated instances, manually curated from more than 2400 scientific publications. In addition, more data have been made available as individually searchable pages and are downloadable in various formats.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/e5b37ac8eca08104ce1f7a845b961cad87008599

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In Molecular Biology

Citations in the corpus

The functional landscape of the human phosphoproteome (2019, methodology): “Similarly, we also included as a binary feature whether the flanking region of every acceptor residue matches a Eukaryotic Linear Motif (ELM) (Dinkel et al. 2016).”
DisProt 7.0: a major update of the database of disordered proteins (2016, unknown): “The interaction of IDPs / IDRs with their target(s) is most often mediated by short continuous stretches of amino acids such as Molecular Recognition Elements / Features (MoREs / MoRFs) (18) and short / eukaryotic linear motifs (SLiMs / ELMs), which have been collected in the ELM database (19).”
ProViz—a web-based visualization tool to investigate the functional and evolutionary features of protein sequences (2016, background): “Proteins are modular entities consisting of autonomous functional regions such as globular domains (1–3), disordered domains (4–6) and short linear motifs (SLiMs) (7–9).”
Comprehensive review of methods for prediction of intrinsic disorder and its molecular functions (2017, methodology): “The currently experimentally annotated SLiMs can be obtained from the Eukaryotic Linear Motif (ELM) resource [133] and they can be predicted with the help of the SLiMpred [134] and PepBindPred [135] methods.”
Prediction of protein disorder based on IUPred (2018, methodology): “61 Various other motif-centric tools, such as SLiMPrints or SLiM-Search, also rely on IUPred.”