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PMut: a web-based tool for the annotation of pathological variants on proteins, 2017 update

We present here a full update of the PMut predictor, active since 2005 and with a large acceptance in the field of predicting Mendelian pathological mutations. PMut internal engine has been renewed, and converted into a fully featured standalone training and prediction engine that not only powers PM...

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Detalles Bibliográficos
Autores principales: López-Ferrando, Víctor, Gazzo, Andrea, de la Cruz, Xavier, Orozco, Modesto, Gelpí, Josep Ll
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5793831/
https://www.ncbi.nlm.nih.gov/pubmed/28453649
http://dx.doi.org/10.1093/nar/gkx313
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author López-Ferrando, Víctor
Gazzo, Andrea
de la Cruz, Xavier
Orozco, Modesto
Gelpí, Josep Ll
author_facet López-Ferrando, Víctor
Gazzo, Andrea
de la Cruz, Xavier
Orozco, Modesto
Gelpí, Josep Ll
author_sort López-Ferrando, Víctor
collection PubMed
description We present here a full update of the PMut predictor, active since 2005 and with a large acceptance in the field of predicting Mendelian pathological mutations. PMut internal engine has been renewed, and converted into a fully featured standalone training and prediction engine that not only powers PMut web portal, but that can generate custom predictors with alternative training sets or validation schemas. PMut Web portal allows the user to perform pathology predictions, to access a complete repository of pre-calculated predictions, and to generate and validate new predictors. The default predictor performs with good quality scores (MCC values of 0.61 on 10-fold cross validation, and 0.42 on a blind test with SwissVar 2016 mutations). The PMut portal is freely accessible at http://mmb.irbbarcelona.org/PMut. A complete help and tutorial is available at http://mmb.irbbarcelona.org/PMut/help.
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spelling pubmed-57938312018-02-06 PMut: a web-based tool for the annotation of pathological variants on proteins, 2017 update López-Ferrando, Víctor Gazzo, Andrea de la Cruz, Xavier Orozco, Modesto Gelpí, Josep Ll Nucleic Acids Res Web Server Issue We present here a full update of the PMut predictor, active since 2005 and with a large acceptance in the field of predicting Mendelian pathological mutations. PMut internal engine has been renewed, and converted into a fully featured standalone training and prediction engine that not only powers PMut web portal, but that can generate custom predictors with alternative training sets or validation schemas. PMut Web portal allows the user to perform pathology predictions, to access a complete repository of pre-calculated predictions, and to generate and validate new predictors. The default predictor performs with good quality scores (MCC values of 0.61 on 10-fold cross validation, and 0.42 on a blind test with SwissVar 2016 mutations). The PMut portal is freely accessible at http://mmb.irbbarcelona.org/PMut. A complete help and tutorial is available at http://mmb.irbbarcelona.org/PMut/help. Oxford University Press 2017-07-03 2017-04-27 /pmc/articles/PMC5793831/ /pubmed/28453649 http://dx.doi.org/10.1093/nar/gkx313 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Web Server Issue
López-Ferrando, Víctor
Gazzo, Andrea
de la Cruz, Xavier
Orozco, Modesto
Gelpí, Josep Ll
PMut: a web-based tool for the annotation of pathological variants on proteins, 2017 update
title PMut: a web-based tool for the annotation of pathological variants on proteins, 2017 update
title_full PMut: a web-based tool for the annotation of pathological variants on proteins, 2017 update
title_fullStr PMut: a web-based tool for the annotation of pathological variants on proteins, 2017 update
title_full_unstemmed PMut: a web-based tool for the annotation of pathological variants on proteins, 2017 update
title_short PMut: a web-based tool for the annotation of pathological variants on proteins, 2017 update
title_sort pmut: a web-based tool for the annotation of pathological variants on proteins, 2017 update
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5793831/
https://www.ncbi.nlm.nih.gov/pubmed/28453649
http://dx.doi.org/10.1093/nar/gkx313
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