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 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 A complete help and tutorial is available at

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References in zbMATH (referenced in 6 articles )

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  1. Qin, Wenli; Li, Yizhou; Li, Juan; Yu, Lezheng; Wu, Di; Jing, Runyu; Pu, Xuemei; Guo, Yanzhi; Li, Menglong: Predicting deleterious non-synonymous single nucleotide polymorphisms in signal peptides based on hybrid sequence attributes (2012)
  2. Li, Yizhou; Wen, Zhining; Xiao, Jiamin; Yin, Hui; Yu, Lezheng; Yang, Li; Li, Menglong: Predicting disease-associated substitution of a single amino acid by analyzing residue interactions (2011) ioport
  3. Masso, Majid; Vaisman, Iosif I.: Knowledge-based computational mutagenesis for predicting the disease potential of human non-synonymous single nucleotide polymorphisms (2010)
  4. Bromberg, Yana; Rost, Burkhard: Correlating protein function and stability through the analysis of single amino acid substitutions (2009) ioport
  5. Izarzugaza, José M. G.; Baresic, Anja; Mcmillan, Lisa E. M.; Yeats, Corin; Clegg, Andrew B.; Orengo, Christine A.; Martin, Andrew C. R.; Valencia, Alfonso: An integrated approach to the interpretation of single amino acid polymorphisms within the framework of CATH and gene3d (2009) ioport
  6. Gordon, Paul Mk; Sensen, Christoph W.: Seahawk: Moving beyond HTML in web-based bioinformatics analysis (2007) ioport