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Kin-Driver: a database of driver mutations in protein kinases

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 functiona...

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Autores principales: Simonetti, Franco L., Tornador, Cristian, Nabau-Moretó, Nuria, Molina-Vila, Miguel A., Marino-Buslje, Cristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4237945/
https://www.ncbi.nlm.nih.gov/pubmed/25414382
http://dx.doi.org/10.1093/database/bau104
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author Simonetti, Franco L.
Tornador, Cristian
Nabau-Moretó, Nuria
Molina-Vila, Miguel A.
Marino-Buslje, Cristina
author_facet Simonetti, Franco L.
Tornador, Cristian
Nabau-Moretó, Nuria
Molina-Vila, Miguel A.
Marino-Buslje, Cristina
author_sort Simonetti, Franco L.
collection PubMed
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/
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spelling pubmed-42379452014-11-21 Kin-Driver: a database of driver mutations in protein kinases Simonetti, Franco L. Tornador, Cristian Nabau-Moretó, Nuria Molina-Vila, Miguel A. Marino-Buslje, Cristina Database (Oxford) Database Tool 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/ Oxford University Press 2014-11-19 /pmc/articles/PMC4237945/ /pubmed/25414382 http://dx.doi.org/10.1093/database/bau104 Text en © The Author(s) 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Tool
Simonetti, Franco L.
Tornador, Cristian
Nabau-Moretó, Nuria
Molina-Vila, Miguel A.
Marino-Buslje, Cristina
Kin-Driver: a database of driver mutations in protein kinases
title 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_short Kin-Driver: a database of driver mutations in protein kinases
title_sort kin-driver: a database of driver mutations in protein kinases
topic Database Tool
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4237945/
https://www.ncbi.nlm.nih.gov/pubmed/25414382
http://dx.doi.org/10.1093/database/bau104
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