What is the ELM resource at elm.eu.org?

Updated

ELM (elm.eu.org) is the Eukaryotic Linear Motif resource, a database and prediction platform for functional sites in proteins known as eukaryotic linear motifs (ELMs). It is aimed at researchers who need to find, predict, or download information about short linear motifs (SLiMs) — compact protein regions that mediate interactions, modifications, and regulatory events. The site organizes its content into five main areas: Prediction, DB (database), Candidates, Information, and Downloads.

What ELM catalogs

ELM collects linear motifs as curated classes and observed instances. A class describes a motif pattern and its function; an instance is a specific occurrence of that motif in a protein. The database also links motifs to supporting evidence and related structures.

The site's database section exposes several browsable categories:

  • ELM classes — curated motif definitions
  • ELM instances — individual motif occurrences in proteins
  • ELM pdb structures — structural context for motifs
  • ELM binding domains — domains that recognize motifs
  • ELM switches — motifs involved in switching behavior
  • ELM pathways — pathway associations
  • ELM references — supporting literature
  • ELM related diseases — disease links
  • ELM viral instances and ELM pathogenic abuse — viral and pathogen-related motifs
  • ELM experiments — experimental validation data
  • ELM GO Terms — Gene Ontology annotations

Prediction and candidates

The ELM Prediction section lets you search for motifs in a protein sequence. The ELM Candidates area holds candidate classes and candidate instances — motif entries that are proposed but not yet fully curated as confirmed classes. This distinction matters if you need only validated motifs versus exploratory candidates.

Information and downloads

The ELM Information section includes Help, News, Stats, Plots, Links, and API pages, plus an About page. The ELM Downloads section provides bulk data for local analysis, covering classes, instances, experiments, GO terms, PDB structures, binding domains, interactions, related diseases, viral instances, pathways, renamed entries, templates, and media.

How to use it

  1. To check whether a motif is known: go to the database and browse or search ELM classes and instances.
  2. To scan a sequence for motifs: use the ELM Prediction section with your protein sequence as input; the expected result is a list of predicted motif matches.
  3. To work at scale or offline: use the Downloads section or the API, rather than querying the web interface manually.
  4. To explore unconfirmed motifs: check ELM Candidates, keeping in mind these are not the same as curated classes.

Points to note

  • ELM focuses on eukaryotic linear motifs, so it is not a general protein-domain database.
  • The resource distinguishes curated classes from candidate entries; treat them differently in analysis.
  • The site is updated — its news items list newly released and revised classes, so checking recent updates helps confirm whether a motif is current.
  • The page does not state pricing or login requirements, so access conditions should be verified directly on the site rather than assumed.