ELM-the eukaryotic linear motif resource in 2020.

Norman E Davey,Athina Diakogianni,Toby J Gibson,Hugo Sámano-Sánchez,Nicolas Palopoli,Lucía B Chemes,Marc Gouw,Rita Pancsa,Manjeet Kumar,Jelena Čalyševa,Jesús Alvarado Valverde,Dayana Bukirova,Sushama Michael,Juliana Glavina

doi:10.1093/nar/gkz1030

Abstract

The eukaryotic linear motif (ELM) resource is a repository of manually curated experimentally validated short linear motifs (SLiMs). Since the initial release almost 20 years ago, ELM has become an indispensable resource for the molecular biology community for investigating functional regions in many proteins. In this update, we have added 21 novel motif classes, made major revisions to 12 motif classes and added >400 new instances mostly focused on DNA damage, the cytoskeleton, SH2-binding phosphotyrosine motifs and motif mimicry by pathogenic bacterial effector proteins. The current release of the ELM database contains 289 motif classes and 3523 individual protein motif instances manually curated from 3467 scientific publications. ELM is available at: http://elm.eu.org.

Highlights

Short linear motifs (SLiMs), eukaryotic linear motifs (ELMs), MoRFs and miniMotifs, are a distinct class of protein interaction interface that is central to cell physiology [1,2]
ELM is a fundamental source of information for the dynamically developing motif biology field
The ELM database is the major resource of quality information on motif-mediated interactions and, thanks to the effort of the motif community, ELM has been continuously developed for almost 20 years

Summary

Introduction

Short linear motifs (SLiMs), eukaryotic linear motifs (ELMs), MoRFs and miniMotifs, are a distinct class of protein interaction interface that is central to cell physiology [1,2]. The ELM database classifies motif instances into class entries based on shared function, specificity determinants or binding partner. We have included several novel classes of proliferating cell nuclear antigen (PCNA)-interacting protein (PIP) box-like motifs including the APIM, and the related RIR and MIP motifs.

Results

Conclusion