Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/120776
Title: PMut. A web-based tool for the annotation of pathological variants on proteins, 2017 update
Author: López Ferrando, Víctor
Gazzo, Andrea
Cruz, Xavier de la
Orozco López, Modesto
Gelpí Buchaca, Josep Lluís
Keywords: Mutació (Biologia)
Proteïnes
Mutation (Biology)
Proteins
Issue Date: 27-Apr-2017
Publisher: Oxford University Press
Abstract: 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.
Note: Reproducció del document publicat a: https://doi.org/10.1093/nar/gkx313
It is part of: Nucleic Acids Research, 2017, vol. 45, num. W1, p. W222-W228
URI: http://hdl.handle.net/2445/120776
Related resource: https://doi.org/10.1093/nar/gkx313
ISSN: 0305-1048
Appears in Collections:Articles publicats en revistes (Institut de Recerca Biomèdica (IRB Barcelona))
Articles publicats en revistes (Bioquímica i Biomedicina Molecular)

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