Kin-Driver: a Database of Driver Mutations in Protein Kinases

Autores
Simonetti, Franco Lucio; Tornador, Cristian; Nabau Moretó, Nuria; Molina Vila, Miguel A.; Marino Buslje, Cristina
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Somatic mutations in protein kinases (PKs) are frequent driver events in many human tumors, while germ-line mutations are associated with hereditary diseases. Here we present Kin-driver, the first database that compiles driver mutations in PKs with experimental evidence demonstrating their functional role. Kin-driver is a manual expert-curated database that pays special attention to activating mutations (AMs) and can serve as a validation set to develop new generation tools focused on the prediction of gain-of-function driver mutations. It also offers an easy and intuitive environment to facilitate the visualization and analysis of mutations in PKs. Because all mutations are mapped onto a multiple sequence alignment, analogue positions between kinases can be identified and tentative new mutations can be proposed for studying by transferring annotation. Finally, our database can also be of use to clinical and translational laboratories, helping them to identify uncommon AMs that can correlate with response to new antitumor drugs. The website was developed using PHP and JavaScript, which are supported by all major browsers; the database was built using MySQL server. Kin-driver is available at: http://kin-driver.leloir.org.ar/
Fil: Simonetti, Franco Lucio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquimicas de Buenos Aires; Argentina. Fundación Instituto Leloir; Argentina
Fil: Tornador, Cristian. Universitat Pompeu Fabra; España
Fil: Nabau Moretó, Nuria. Universitat de Barcelona. Facultat de Biologia; España
Fil: Molina Vila, Miguel A.. Hospital Universitari Dexeus; España
Fil: Marino Buslje, Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquimicas de Buenos Aires; Argentina. Fundación Instituto Leloir; Argentina
Materia
Kinases
driver mutation
database
cancer
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:11336/8348
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Kin-Driver: a Database of Driver Mutations in Protein KinasesSimonetti, Franco LucioTornador, CristianNabau Moretó, NuriaMolina Vila, Miguel A.Marino Buslje, CristinaKinasesdriver mutationdatabasecancerhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Somatic mutations in protein kinases (PKs) are frequent driver events in many human tumors, while germ-line mutations are associated with hereditary diseases. Here we present Kin-driver, the first database that compiles driver mutations in PKs with experimental evidence demonstrating their functional role. Kin-driver is a manual expert-curated database that pays special attention to activating mutations (AMs) and can serve as a validation set to develop new generation tools focused on the prediction of gain-of-function driver mutations. It also offers an easy and intuitive environment to facilitate the visualization and analysis of mutations in PKs. Because all mutations are mapped onto a multiple sequence alignment, analogue positions between kinases can be identified and tentative new mutations can be proposed for studying by transferring annotation. Finally, our database can also be of use to clinical and translational laboratories, helping them to identify uncommon AMs that can correlate with response to new antitumor drugs. The website was developed using PHP and JavaScript, which are supported by all major browsers; the database was built using MySQL server. Kin-driver is available at: http://kin-driver.leloir.org.ar/Fil: Simonetti, Franco Lucio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquimicas de Buenos Aires; Argentina. Fundación Instituto Leloir; ArgentinaFil: Tornador, Cristian. Universitat Pompeu Fabra; EspañaFil: Nabau Moretó, Nuria. Universitat de Barcelona. Facultat de Biologia; EspañaFil: Molina Vila, Miguel A.. Hospital Universitari Dexeus; EspañaFil: Marino Buslje, Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquimicas de Buenos Aires; Argentina. Fundación Instituto Leloir; ArgentinaOxford University Press2014info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/8348Simonetti, Franco Lucio; Tornador, Cristian; Nabau Moretó, Nuria; Molina Vila, Miguel A.; Marino Buslje, Cristina; Kin-Driver: a Database of Driver Mutations in Protein Kinases; Oxford University Press; Database: The Journal of Biological Databases and Curation; 2014; -1-2014; bau1041758-0463enginfo:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4237945/info:eu-repo/semantics/altIdentifier/url/http://database.oxfordjournals.org/content/2014/bau104info:eu-repo/semantics/altIdentifier/doi/10.1093/database/bau104info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:46:20Zoai:ri.conicet.gov.ar:11336/8348instacron: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:34982025-09-29 09:46:21.186CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Kin-Driver: a Database of Driver Mutations in Protein Kinases
title Kin-Driver: a Database of Driver Mutations in Protein Kinases
spellingShingle Kin-Driver: a Database of Driver Mutations in Protein Kinases
Simonetti, Franco Lucio
Kinases
driver mutation
database
cancer
title_short Kin-Driver: a Database of Driver Mutations in Protein Kinases
title_full Kin-Driver: a Database of Driver Mutations in Protein Kinases
title_fullStr Kin-Driver: a Database of Driver Mutations in Protein Kinases
title_full_unstemmed Kin-Driver: a Database of Driver Mutations in Protein Kinases
title_sort Kin-Driver: a Database of Driver Mutations in Protein Kinases
dc.creator.none.fl_str_mv Simonetti, Franco Lucio
Tornador, Cristian
Nabau Moretó, Nuria
Molina Vila, Miguel A.
Marino Buslje, Cristina
author Simonetti, Franco Lucio
author_facet Simonetti, Franco Lucio
Tornador, Cristian
Nabau Moretó, Nuria
Molina Vila, Miguel A.
Marino Buslje, Cristina
author_role author
author2 Tornador, Cristian
Nabau Moretó, Nuria
Molina Vila, Miguel A.
Marino Buslje, Cristina
author2_role author
author
author
author
dc.subject.none.fl_str_mv Kinases
driver mutation
database
cancer
topic Kinases
driver mutation
database
cancer
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Somatic mutations in protein kinases (PKs) are frequent driver events in many human tumors, while germ-line mutations are associated with hereditary diseases. Here we present Kin-driver, the first database that compiles driver mutations in PKs with experimental evidence demonstrating their functional role. Kin-driver is a manual expert-curated database that pays special attention to activating mutations (AMs) and can serve as a validation set to develop new generation tools focused on the prediction of gain-of-function driver mutations. It also offers an easy and intuitive environment to facilitate the visualization and analysis of mutations in PKs. Because all mutations are mapped onto a multiple sequence alignment, analogue positions between kinases can be identified and tentative new mutations can be proposed for studying by transferring annotation. Finally, our database can also be of use to clinical and translational laboratories, helping them to identify uncommon AMs that can correlate with response to new antitumor drugs. The website was developed using PHP and JavaScript, which are supported by all major browsers; the database was built using MySQL server. Kin-driver is available at: http://kin-driver.leloir.org.ar/
Fil: Simonetti, Franco Lucio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquimicas de Buenos Aires; Argentina. Fundación Instituto Leloir; Argentina
Fil: Tornador, Cristian. Universitat Pompeu Fabra; España
Fil: Nabau Moretó, Nuria. Universitat de Barcelona. Facultat de Biologia; España
Fil: Molina Vila, Miguel A.. Hospital Universitari Dexeus; España
Fil: Marino Buslje, Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquimicas de Buenos Aires; Argentina. Fundación Instituto Leloir; Argentina
description Somatic mutations in protein kinases (PKs) are frequent driver events in many human tumors, while germ-line mutations are associated with hereditary diseases. Here we present Kin-driver, the first database that compiles driver mutations in PKs with experimental evidence demonstrating their functional role. Kin-driver is a manual expert-curated database that pays special attention to activating mutations (AMs) and can serve as a validation set to develop new generation tools focused on the prediction of gain-of-function driver mutations. It also offers an easy and intuitive environment to facilitate the visualization and analysis of mutations in PKs. Because all mutations are mapped onto a multiple sequence alignment, analogue positions between kinases can be identified and tentative new mutations can be proposed for studying by transferring annotation. Finally, our database can also be of use to clinical and translational laboratories, helping them to identify uncommon AMs that can correlate with response to new antitumor drugs. The website was developed using PHP and JavaScript, which are supported by all major browsers; the database was built using MySQL server. Kin-driver is available at: http://kin-driver.leloir.org.ar/
publishDate 2014
dc.date.none.fl_str_mv 2014
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/11336/8348
Simonetti, Franco Lucio; Tornador, Cristian; Nabau Moretó, Nuria; Molina Vila, Miguel A.; Marino Buslje, Cristina; Kin-Driver: a Database of Driver Mutations in Protein Kinases; Oxford University Press; Database: The Journal of Biological Databases and Curation; 2014; -1-2014; bau104
1758-0463
url http://hdl.handle.net/11336/8348
identifier_str_mv Simonetti, Franco Lucio; Tornador, Cristian; Nabau Moretó, Nuria; Molina Vila, Miguel A.; Marino Buslje, Cristina; Kin-Driver: a Database of Driver Mutations in Protein Kinases; Oxford University Press; Database: The Journal of Biological Databases and Curation; 2014; -1-2014; bau104
1758-0463
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4237945/
info:eu-repo/semantics/altIdentifier/url/http://database.oxfordjournals.org/content/2014/bau104
info:eu-repo/semantics/altIdentifier/doi/10.1093/database/bau104
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
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 13.070432

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