dc.contributor.author |
López-Ferrando, Víctor |
dc.contributor.author |
Gazzo, Andrea |
dc.contributor.author |
de la Cruz, Xavier |
dc.contributor.author |
Orozco, Modesto |
dc.contributor.author |
Gelpí, Josep Ll |
dc.date |
2017 |
dc.identifier |
https://ddd.uab.cat/record/187833 |
dc.identifier |
urn:10.1093/nar/gkx313 |
dc.identifier |
urn:oai:ddd.uab.cat:187833 |
dc.identifier |
urn:pmid:28453649 |
dc.identifier |
urn:pmcid:PMC5793831 |
dc.identifier |
urn:pmc-uid:5793831 |
dc.identifier |
urn:articleid:13624962v45W222 |
dc.identifier |
urn:oai:egreta.uab.cat:publications/d55852e1-8e1d-431e-9d57-29d0d353bcb7 |
dc.identifier |
urn:scopus_id:85023197268 |
dc.identifier |
urn:oai:pubmedcentral.nih.gov:5793831 |
dc.format |
application/pdf |
dc.language |
eng |
dc.publisher |
|
dc.relation |
Ministerio de Educación, Cultura y Deporte BIO2015-64802-R-32868 |
dc.relation |
Ministerio de Educación, Cultura y Deporte SEV-2015-0493 |
dc.relation |
Ministerio de Educación, Cultura y Deporte TIN2012-34557 |
dc.relation |
Ministerio de Educación, Cultura y Deporte TEC2015-67774-C2-2-R |
dc.relation |
Ministerio de Educación, Cultura y Deporte SAF2016-80255-R |
dc.relation |
Agència de Gestió d'Ajuts Universitaris i de Recerca 2014-SGR-134 |
dc.relation |
Agència de Gestió d'Ajuts Universitaris i de Recerca 2014-SGR-1051 |
dc.relation |
Instituto de Salud Carlos III PT13/0001/0019 |
dc.relation |
Instituto de Salud Carlos III PT13/0001/0028 |
dc.relation |
European Commission 676559 |
dc.relation |
European Commission 674728 |
dc.relation |
European Commission 676566 |
dc.relation |
Nucleic acids research ; Vol. 45 (april 2017), p. W222-W228 |
dc.rights |
open access |
dc.rights |
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. |
dc.rights |
https://creativecommons.org/licenses/by-nc/4.0/ |
dc.title |
PMut : a web-based tool for the annotation of pathological variants on proteins, 2017 update |
dc.type |
Article |
dc.description.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. |