<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Marc Gouw</style></author><author><style face="normal" font="default" size="100%">Hugo Sámano-Sánchez</style></author><author><style face="normal" font="default" size="100%">Kim Van Roey</style></author><author><style face="normal" font="default" size="100%">Francesca Diella</style></author><author><style face="normal" font="default" size="100%">Toby J Gibson</style></author><author><style face="normal" font="default" size="100%">Holger Dinkel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Exploring Short Linear Motifs Using the ELM Database and Tools.</style></title><secondary-title><style face="normal" font="default" size="100%">Curr Protoc Bioinformatics</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Amino Acid Motifs</style></keyword><keyword><style  face="normal" font="default" size="100%">Computational Biology</style></keyword><keyword><style  face="normal" font="default" size="100%">Databases, Protein</style></keyword><keyword><style  face="normal" font="default" size="100%">Eukaryota</style></keyword><keyword><style  face="normal" font="default" size="100%">Protein Domains</style></keyword><keyword><style  face="normal" font="default" size="100%">Proteins</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2017 06 27</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">58</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The Eukaryotic Linear Motif (ELM) resource is dedicated to the characterization and prediction of short linear motifs (SLiMs). SLiMs are compact, degenerate peptide segments found in many proteins and essential to almost all cellular processes. However, despite their abundance, SLiMs remain largely uncharacterized. The ELM database is a collection of manually annotated SLiM instances curated from experimental literature. In this article we illustrate how to browse and search the database for curated SLiM data, and cover the different types of data integrated in the resource. We also cover how to use this resource in order to predict SLiMs in known as well as novel proteins, and how to interpret the results generated by the ELM prediction pipeline. The ELM database is a very rich resource, and in the following protocols we give helpful examples to demonstrate how this knowledge can be used to improve your own research. © 2017 by John Wiley &amp;amp; Sons, Inc.&lt;/p&gt;
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