iELM—a web server to explore short linear motif-mediated interactions

RJ Weatheritt, P Jehl, H Dinkel… - Nucleic Acids …, 2012 - academic.oup.com
RJ Weatheritt, P Jehl, H Dinkel, TJ Gibson
Nucleic Acids Research, 2012academic.oup.com
The recent expansion in our knowledge of protein–protein interactions (PPIs) has allowed
the annotation and prediction of hundreds of thousands of interactions. However, the
function of many of these interactions remains elusive. The interactions of Eukaryotic Linear
Motif (iELM) web server provides a resource for predicting the function and positional
interface for a subset of interactions mediated by short linear motifs (SLiMs). The iELM
prediction algorithm is based on the annotated SLiM classes from the Eukaryotic Linear …
Abstract
The recent expansion in our knowledge of protein–protein interactions (PPIs) has allowed the annotation and prediction of hundreds of thousands of interactions. However, the function of many of these interactions remains elusive. The interactions of Eukaryotic Linear Motif (iELM) web server provides a resource for predicting the function and positional interface for a subset of interactions mediated by short linear motifs (SLiMs). The iELM prediction algorithm is based on the annotated SLiM classes from the Eukaryotic Linear Motif (ELM) resource and allows users to explore both annotated and user-generated PPI networks for SLiM-mediated interactions. By incorporating the annotated information from the ELM resource, iELM provides functional details of PPIs. This can be used in proteomic analysis, for example, to infer whether an interaction promotes complex formation or degradation. Furthermore, details of the molecular interface of the SLiM-mediated interactions are also predicted. This information is displayed in a fully searchable table, as well as graphically with the modular architecture of the participating proteins extracted from the UniProt and Phospho.ELM resources. A network figure is also presented to aid the interpretation of results. The iELM server supports single protein queries as well as large-scale proteomic submissions and is freely available at http://i.elm.eu.org.
Oxford University Press