MobiDB: 10 years of intrinsically disordered proteins

Autores
Piovesan, Damiano; Del Conte, Alessio; Clementel, Damiano; Monzon, Alexander Miguel; Bevilacqua, Martina; Aspromonte, Maria Cristina; Iserte, Javier Alonso; Orti, Fernando Ezequiel; Marino Buslje, Cristina; Tosatto, Silvio C. E.
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The MobiDB database (URL: https://mobidb.org/) is a knowledge base of intrinsically disordered proteins. MobiDB aggregates disorder annotations derived from the literature and from experimental evidence along with predictions for all known protein sequences. MobiDB generates new knowledge and captures the functional significance of disordered regions by processing and combining complementary sources of information. Since its first release 10 years ago, the MobiDB database has evolved in order to improve the quality and coverage of protein disorder annotations and its accessibility. MobiDB has now reached its maturity in terms of data standardization and visualization. Here, we present a new release which focuses on the optimization of user experience and database content. The major advances compared to the previous version are the integration of AlphaFoldDB predictions and the re-implementation of the homology transfer pipeline, which expands manually curated annotations by two orders of magnitude. Finally, the entry page has been restyled in order to provide an overview of the available annotations along with two separate views that highlight structural disorder evidence and functions associated with different binding modes.
Fil: Piovesan, Damiano. Università di Padova; Italia
Fil: Del Conte, Alessio. Università di Padova; Italia
Fil: Clementel, Damiano. Università di Padova; Italia
Fil: Monzon, Alexander Miguel. Università di Padova; Italia
Fil: Bevilacqua, Martina. Università di Padova; Italia
Fil: Aspromonte, Maria Cristina. Università di Padova; Italia
Fil: Iserte, Javier Alonso. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina
Fil: Orti, Fernando Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina
Fil: Marino Buslje, Cristina. Fundación Instituto Leloir; Argentina
Fil: Tosatto, Silvio C. E.. Università di Padova; Italia
Materia
Intrinsically disordered proteins
Database
Predictions
MobiDB
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/228938
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/228938
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling MobiDB: 10 years of intrinsically disordered proteinsPiovesan, DamianoDel Conte, AlessioClementel, DamianoMonzon, Alexander MiguelBevilacqua, MartinaAspromonte, Maria CristinaIserte, Javier AlonsoOrti, Fernando EzequielMarino Buslje, CristinaTosatto, Silvio C. E.Intrinsically disordered proteinsDatabasePredictionsMobiDBhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1The MobiDB database (URL: https://mobidb.org/) is a knowledge base of intrinsically disordered proteins. MobiDB aggregates disorder annotations derived from the literature and from experimental evidence along with predictions for all known protein sequences. MobiDB generates new knowledge and captures the functional significance of disordered regions by processing and combining complementary sources of information. Since its first release 10 years ago, the MobiDB database has evolved in order to improve the quality and coverage of protein disorder annotations and its accessibility. MobiDB has now reached its maturity in terms of data standardization and visualization. Here, we present a new release which focuses on the optimization of user experience and database content. The major advances compared to the previous version are the integration of AlphaFoldDB predictions and the re-implementation of the homology transfer pipeline, which expands manually curated annotations by two orders of magnitude. Finally, the entry page has been restyled in order to provide an overview of the available annotations along with two separate views that highlight structural disorder evidence and functions associated with different binding modes.Fil: Piovesan, Damiano. Università di Padova; ItaliaFil: Del Conte, Alessio. Università di Padova; ItaliaFil: Clementel, Damiano. Università di Padova; ItaliaFil: Monzon, Alexander Miguel. Università di Padova; ItaliaFil: Bevilacqua, Martina. Università di Padova; ItaliaFil: Aspromonte, Maria Cristina. Università di Padova; ItaliaFil: Iserte, Javier Alonso. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; ArgentinaFil: Orti, Fernando Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; ArgentinaFil: Marino Buslje, Cristina. Fundación Instituto Leloir; ArgentinaFil: Tosatto, Silvio C. E.. Università di Padova; ItaliaOxford University Press2023-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/228938Piovesan, Damiano; Del Conte, Alessio; Clementel, Damiano; Monzon, Alexander Miguel; Bevilacqua, Martina; et al.; MobiDB: 10 years of intrinsically disordered proteins; Oxford University Press; Nucleic Acids Research; 51; 1 D; 1-2023; D438-D4441362-4962CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/nar/article/51/D1/D438/6842895info:eu-repo/semantics/altIdentifier/doi/10.1093/nar/gkac1065info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:52:43Zoai:ri.conicet.gov.ar:11336/228938instacron: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:34982025-09-03 09:52:43.552CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv MobiDB: 10 years of intrinsically disordered proteins
title MobiDB: 10 years of intrinsically disordered proteins
spellingShingle MobiDB: 10 years of intrinsically disordered proteins
Piovesan, Damiano
Intrinsically disordered proteins
Database
Predictions
MobiDB
title_short MobiDB: 10 years of intrinsically disordered proteins
title_full MobiDB: 10 years of intrinsically disordered proteins
title_fullStr MobiDB: 10 years of intrinsically disordered proteins
title_full_unstemmed MobiDB: 10 years of intrinsically disordered proteins
title_sort MobiDB: 10 years of intrinsically disordered proteins
dc.creator.none.fl_str_mv Piovesan, Damiano
Del Conte, Alessio
Clementel, Damiano
Monzon, Alexander Miguel
Bevilacqua, Martina
Aspromonte, Maria Cristina
Iserte, Javier Alonso
Orti, Fernando Ezequiel
Marino Buslje, Cristina
Tosatto, Silvio C. E.
author Piovesan, Damiano
author_facet Piovesan, Damiano
Del Conte, Alessio
Clementel, Damiano
Monzon, Alexander Miguel
Bevilacqua, Martina
Aspromonte, Maria Cristina
Iserte, Javier Alonso
Orti, Fernando Ezequiel
Marino Buslje, Cristina
Tosatto, Silvio C. E.
author_role author
author2 Del Conte, Alessio
Clementel, Damiano
Monzon, Alexander Miguel
Bevilacqua, Martina
Aspromonte, Maria Cristina
Iserte, Javier Alonso
Orti, Fernando Ezequiel
Marino Buslje, Cristina
Tosatto, Silvio C. E.
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Intrinsically disordered proteins
Database
Predictions
MobiDB
topic Intrinsically disordered proteins
Database
Predictions
MobiDB
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The MobiDB database (URL: https://mobidb.org/) is a knowledge base of intrinsically disordered proteins. MobiDB aggregates disorder annotations derived from the literature and from experimental evidence along with predictions for all known protein sequences. MobiDB generates new knowledge and captures the functional significance of disordered regions by processing and combining complementary sources of information. Since its first release 10 years ago, the MobiDB database has evolved in order to improve the quality and coverage of protein disorder annotations and its accessibility. MobiDB has now reached its maturity in terms of data standardization and visualization. Here, we present a new release which focuses on the optimization of user experience and database content. The major advances compared to the previous version are the integration of AlphaFoldDB predictions and the re-implementation of the homology transfer pipeline, which expands manually curated annotations by two orders of magnitude. Finally, the entry page has been restyled in order to provide an overview of the available annotations along with two separate views that highlight structural disorder evidence and functions associated with different binding modes.
Fil: Piovesan, Damiano. Università di Padova; Italia
Fil: Del Conte, Alessio. Università di Padova; Italia
Fil: Clementel, Damiano. Università di Padova; Italia
Fil: Monzon, Alexander Miguel. Università di Padova; Italia
Fil: Bevilacqua, Martina. Università di Padova; Italia
Fil: Aspromonte, Maria Cristina. Università di Padova; Italia
Fil: Iserte, Javier Alonso. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina
Fil: Orti, Fernando Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina
Fil: Marino Buslje, Cristina. Fundación Instituto Leloir; Argentina
Fil: Tosatto, Silvio C. E.. Università di Padova; Italia
description The MobiDB database (URL: https://mobidb.org/) is a knowledge base of intrinsically disordered proteins. MobiDB aggregates disorder annotations derived from the literature and from experimental evidence along with predictions for all known protein sequences. MobiDB generates new knowledge and captures the functional significance of disordered regions by processing and combining complementary sources of information. Since its first release 10 years ago, the MobiDB database has evolved in order to improve the quality and coverage of protein disorder annotations and its accessibility. MobiDB has now reached its maturity in terms of data standardization and visualization. Here, we present a new release which focuses on the optimization of user experience and database content. The major advances compared to the previous version are the integration of AlphaFoldDB predictions and the re-implementation of the homology transfer pipeline, which expands manually curated annotations by two orders of magnitude. Finally, the entry page has been restyled in order to provide an overview of the available annotations along with two separate views that highlight structural disorder evidence and functions associated with different binding modes.
publishDate 2023
dc.date.none.fl_str_mv 2023-01
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/11336/228938
Piovesan, Damiano; Del Conte, Alessio; Clementel, Damiano; Monzon, Alexander Miguel; Bevilacqua, Martina; et al.; MobiDB: 10 years of intrinsically disordered proteins; Oxford University Press; Nucleic Acids Research; 51; 1 D; 1-2023; D438-D444
1362-4962
CONICET Digital
CONICET
url http://hdl.handle.net/11336/228938
identifier_str_mv Piovesan, Damiano; Del Conte, Alessio; Clementel, Damiano; Monzon, Alexander Miguel; Bevilacqua, Martina; et al.; MobiDB: 10 years of intrinsically disordered proteins; Oxford University Press; Nucleic Acids Research; 51; 1 D; 1-2023; D438-D444
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/url/https://academic.oup.com/nar/article/51/D1/D438/6842895
info:eu-repo/semantics/altIdentifier/doi/10.1093/nar/gkac1065
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/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
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score 13.13397

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