The Eukaryotic Linear Motif resource: 2022 release

Autores
Kumar, Manjeet; Michael, Sushama; Alvarado Valverde, Jesús; Mészáros, Bálint; Sámano Sánchez, Hugo; Zeke, András; Dobson, Laszlo; Lazar, Tamas; Örd, Mihkel; Nagpal, Anurag; Farahi, Nazanin; Käser, Melanie; Kraleti, Ramya; Davey, Norman E.; Pancsa, Rita; Chemes, Lucia Beatriz; Gibson, Toby James
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Almost twenty years after its initial release, the Eukaryotic Linear Motif (ELM) resource remains an invaluable source of information for the study of motif-mediated protein-protein interactions. ELM provides a comprehensive, regularly updated and well-organised repository of manually curated, experimentally validated short linear motifs (SLiMs). An increasing number of SLiM-mediated interactions are discovered each year and keeping the resource up-to-date continues to be a great challenge. In the current update, 30 novel motif classes have been added and five existing classes have undergone major revisions. The update includes 411 new motif instances mostly focused on cell-cycle regulation, control of the actin cytoskeleton, membrane remodelling and vesicle trafficking pathways, liquid-liquid phase separation and integrin signalling. Many of the newly annotated motif-mediated interactions are targets of pathogenic motif mimicry by viral, bacterial or eukaryotic pathogens, providing invaluable insights into the molecular mechanisms underlying infectious diseases. The current ELM release includes 317 motif classes incorporating 3934 individual motif instances manually curated from 3867 scientific publications.
Fil: Kumar, Manjeet. European Molecular Biology Laboratory; Alemania
Fil: Michael, Sushama. European Molecular Biology Laboratory; Alemania
Fil: Alvarado Valverde, Jesús. European Molecular Biology Laboratory; Alemania. Ruprecht Karls Universitat Heidelberg; Alemania
Fil: Mészáros, Bálint. European Molecular Biology Laboratory; Alemania
Fil: Sámano Sánchez, Hugo. European Molecular Biology Laboratory; Alemania. Zhejiang University; China. University of Edinburgh; Reino Unido
Fil: Zeke, András. Research Centre for Natural Sciences; Hungría
Fil: Dobson, Laszlo. European Molecular Biology Laboratory; Alemania. Research Centre for Natural Sciences; Hungría
Fil: Lazar, Tamas. Vrije Unviversiteit Brussel; Bélgica
Fil: Örd, Mihkel. Chester Beatty Laboratories; Reino Unido
Fil: Nagpal, Anurag. Birla Institute of Technology & Science; India
Fil: Farahi, Nazanin. Vrije Unviversiteit Brussel; Bélgica
Fil: Käser, Melanie. European Molecular Biology Laboratory; Alemania. Ruprecht Karls Universitat Heidelberg; Alemania
Fil: Kraleti, Ramya. European Molecular Biology Laboratory; Alemania. Justus Liebig Universitat Giessen; Alemania
Fil: Davey, Norman E.. Chester Beatty Laboratories; Reino Unido
Fil: Pancsa, Rita. Chester Beatty Laboratories; Reino Unido. European Molecular Biology Laboratory; Alemania
Fil: Chemes, Lucia Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas; Argentina
Fil: Gibson, Toby James. European Molecular Biology Laboratory; Alemania
Materia
LINEAR MOTIFS
DATABASE
SIGNALING
BIOINFORMATICS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/215521
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/215521
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling The Eukaryotic Linear Motif resource: 2022 releaseKumar, ManjeetMichael, SushamaAlvarado Valverde, JesúsMészáros, BálintSámano Sánchez, HugoZeke, AndrásDobson, LaszloLazar, TamasÖrd, MihkelNagpal, AnuragFarahi, NazaninKäser, MelanieKraleti, RamyaDavey, Norman E.Pancsa, RitaChemes, Lucia BeatrizGibson, Toby JamesLINEAR MOTIFSDATABASESIGNALINGBIOINFORMATICShttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Almost twenty years after its initial release, the Eukaryotic Linear Motif (ELM) resource remains an invaluable source of information for the study of motif-mediated protein-protein interactions. ELM provides a comprehensive, regularly updated and well-organised repository of manually curated, experimentally validated short linear motifs (SLiMs). An increasing number of SLiM-mediated interactions are discovered each year and keeping the resource up-to-date continues to be a great challenge. In the current update, 30 novel motif classes have been added and five existing classes have undergone major revisions. The update includes 411 new motif instances mostly focused on cell-cycle regulation, control of the actin cytoskeleton, membrane remodelling and vesicle trafficking pathways, liquid-liquid phase separation and integrin signalling. Many of the newly annotated motif-mediated interactions are targets of pathogenic motif mimicry by viral, bacterial or eukaryotic pathogens, providing invaluable insights into the molecular mechanisms underlying infectious diseases. The current ELM release includes 317 motif classes incorporating 3934 individual motif instances manually curated from 3867 scientific publications.Fil: Kumar, Manjeet. European Molecular Biology Laboratory; AlemaniaFil: Michael, Sushama. European Molecular Biology Laboratory; AlemaniaFil: Alvarado Valverde, Jesús. European Molecular Biology Laboratory; Alemania. Ruprecht Karls Universitat Heidelberg; AlemaniaFil: Mészáros, Bálint. European Molecular Biology Laboratory; AlemaniaFil: Sámano Sánchez, Hugo. European Molecular Biology Laboratory; Alemania. Zhejiang University; China. University of Edinburgh; Reino UnidoFil: Zeke, András. Research Centre for Natural Sciences; HungríaFil: Dobson, Laszlo. European Molecular Biology Laboratory; Alemania. Research Centre for Natural Sciences; HungríaFil: Lazar, Tamas. Vrije Unviversiteit Brussel; BélgicaFil: Örd, Mihkel. Chester Beatty Laboratories; Reino UnidoFil: Nagpal, Anurag. Birla Institute of Technology & Science; IndiaFil: Farahi, Nazanin. Vrije Unviversiteit Brussel; BélgicaFil: Käser, Melanie. European Molecular Biology Laboratory; Alemania. Ruprecht Karls Universitat Heidelberg; AlemaniaFil: Kraleti, Ramya. European Molecular Biology Laboratory; Alemania. Justus Liebig Universitat Giessen; AlemaniaFil: Davey, Norman E.. Chester Beatty Laboratories; Reino UnidoFil: Pancsa, Rita. Chester Beatty Laboratories; Reino Unido. European Molecular Biology Laboratory; AlemaniaFil: Chemes, Lucia Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas; ArgentinaFil: Gibson, Toby James. European Molecular Biology Laboratory; AlemaniaOxford University Press2022-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/215521Kumar, Manjeet; Michael, Sushama; Alvarado Valverde, Jesús; Mészáros, Bálint; Sámano Sánchez, Hugo; et al.; The Eukaryotic Linear Motif resource: 2022 release; Oxford University Press; Nucleic Acids Research; 50; D1; 1-2022; D497-D5081362-4962CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1093/nar/gkab975info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/nar/article/50/D1/D497/6414054info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-17T10:42:30Zoai:ri.conicet.gov.ar:11336/215521instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-17 10:42:30.619CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv The Eukaryotic Linear Motif resource: 2022 release
title The Eukaryotic Linear Motif resource: 2022 release
spellingShingle The Eukaryotic Linear Motif resource: 2022 release
Kumar, Manjeet
LINEAR MOTIFS
DATABASE
SIGNALING
BIOINFORMATICS
title_short The Eukaryotic Linear Motif resource: 2022 release
title_full The Eukaryotic Linear Motif resource: 2022 release
title_fullStr The Eukaryotic Linear Motif resource: 2022 release
title_full_unstemmed The Eukaryotic Linear Motif resource: 2022 release
title_sort The Eukaryotic Linear Motif resource: 2022 release
dc.creator.none.fl_str_mv Kumar, Manjeet
Michael, Sushama
Alvarado Valverde, Jesús
Mészáros, Bálint
Sámano Sánchez, Hugo
Zeke, András
Dobson, Laszlo
Lazar, Tamas
Örd, Mihkel
Nagpal, Anurag
Farahi, Nazanin
Käser, Melanie
Kraleti, Ramya
Davey, Norman E.
Pancsa, Rita
Chemes, Lucia Beatriz
Gibson, Toby James
author Kumar, Manjeet
author_facet Kumar, Manjeet
Michael, Sushama
Alvarado Valverde, Jesús
Mészáros, Bálint
Sámano Sánchez, Hugo
Zeke, András
Dobson, Laszlo
Lazar, Tamas
Örd, Mihkel
Nagpal, Anurag
Farahi, Nazanin
Käser, Melanie
Kraleti, Ramya
Davey, Norman E.
Pancsa, Rita
Chemes, Lucia Beatriz
Gibson, Toby James
author_role author
author2 Michael, Sushama
Alvarado Valverde, Jesús
Mészáros, Bálint
Sámano Sánchez, Hugo
Zeke, András
Dobson, Laszlo
Lazar, Tamas
Örd, Mihkel
Nagpal, Anurag
Farahi, Nazanin
Käser, Melanie
Kraleti, Ramya
Davey, Norman E.
Pancsa, Rita
Chemes, Lucia Beatriz
Gibson, Toby James
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv LINEAR MOTIFS
DATABASE
SIGNALING
BIOINFORMATICS
topic LINEAR MOTIFS
DATABASE
SIGNALING
BIOINFORMATICS
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Almost twenty years after its initial release, the Eukaryotic Linear Motif (ELM) resource remains an invaluable source of information for the study of motif-mediated protein-protein interactions. ELM provides a comprehensive, regularly updated and well-organised repository of manually curated, experimentally validated short linear motifs (SLiMs). An increasing number of SLiM-mediated interactions are discovered each year and keeping the resource up-to-date continues to be a great challenge. In the current update, 30 novel motif classes have been added and five existing classes have undergone major revisions. The update includes 411 new motif instances mostly focused on cell-cycle regulation, control of the actin cytoskeleton, membrane remodelling and vesicle trafficking pathways, liquid-liquid phase separation and integrin signalling. Many of the newly annotated motif-mediated interactions are targets of pathogenic motif mimicry by viral, bacterial or eukaryotic pathogens, providing invaluable insights into the molecular mechanisms underlying infectious diseases. The current ELM release includes 317 motif classes incorporating 3934 individual motif instances manually curated from 3867 scientific publications.
Fil: Kumar, Manjeet. European Molecular Biology Laboratory; Alemania
Fil: Michael, Sushama. European Molecular Biology Laboratory; Alemania
Fil: Alvarado Valverde, Jesús. European Molecular Biology Laboratory; Alemania. Ruprecht Karls Universitat Heidelberg; Alemania
Fil: Mészáros, Bálint. European Molecular Biology Laboratory; Alemania
Fil: Sámano Sánchez, Hugo. European Molecular Biology Laboratory; Alemania. Zhejiang University; China. University of Edinburgh; Reino Unido
Fil: Zeke, András. Research Centre for Natural Sciences; Hungría
Fil: Dobson, Laszlo. European Molecular Biology Laboratory; Alemania. Research Centre for Natural Sciences; Hungría
Fil: Lazar, Tamas. Vrije Unviversiteit Brussel; Bélgica
Fil: Örd, Mihkel. Chester Beatty Laboratories; Reino Unido
Fil: Nagpal, Anurag. Birla Institute of Technology & Science; India
Fil: Farahi, Nazanin. Vrije Unviversiteit Brussel; Bélgica
Fil: Käser, Melanie. European Molecular Biology Laboratory; Alemania. Ruprecht Karls Universitat Heidelberg; Alemania
Fil: Kraleti, Ramya. European Molecular Biology Laboratory; Alemania. Justus Liebig Universitat Giessen; Alemania
Fil: Davey, Norman E.. Chester Beatty Laboratories; Reino Unido
Fil: Pancsa, Rita. Chester Beatty Laboratories; Reino Unido. European Molecular Biology Laboratory; Alemania
Fil: Chemes, Lucia Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas; Argentina
Fil: Gibson, Toby James. European Molecular Biology Laboratory; Alemania
description Almost twenty years after its initial release, the Eukaryotic Linear Motif (ELM) resource remains an invaluable source of information for the study of motif-mediated protein-protein interactions. ELM provides a comprehensive, regularly updated and well-organised repository of manually curated, experimentally validated short linear motifs (SLiMs). An increasing number of SLiM-mediated interactions are discovered each year and keeping the resource up-to-date continues to be a great challenge. In the current update, 30 novel motif classes have been added and five existing classes have undergone major revisions. The update includes 411 new motif instances mostly focused on cell-cycle regulation, control of the actin cytoskeleton, membrane remodelling and vesicle trafficking pathways, liquid-liquid phase separation and integrin signalling. Many of the newly annotated motif-mediated interactions are targets of pathogenic motif mimicry by viral, bacterial or eukaryotic pathogens, providing invaluable insights into the molecular mechanisms underlying infectious diseases. The current ELM release includes 317 motif classes incorporating 3934 individual motif instances manually curated from 3867 scientific publications.
publishDate 2022
dc.date.none.fl_str_mv 2022-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/215521
Kumar, Manjeet; Michael, Sushama; Alvarado Valverde, Jesús; Mészáros, Bálint; Sámano Sánchez, Hugo; et al.; The Eukaryotic Linear Motif resource: 2022 release; Oxford University Press; Nucleic Acids Research; 50; D1; 1-2022; D497-D508
1362-4962
CONICET Digital
CONICET
url http://hdl.handle.net/11336/215521
identifier_str_mv Kumar, Manjeet; Michael, Sushama; Alvarado Valverde, Jesús; Mészáros, Bálint; Sámano Sánchez, Hugo; et al.; The Eukaryotic Linear Motif resource: 2022 release; Oxford University Press; Nucleic Acids Research; 50; D1; 1-2022; D497-D508
1362-4962
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1093/nar/gkab975
info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/nar/article/50/D1/D497/6414054
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Oxford University Press
publisher.none.fl_str_mv Oxford University Press
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1843605897694150656
score 13.000565

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