ArticleNucleic acids research2017
PMut: a web-based tool for the annotation of pathological variants on proteins, 2017 update.
Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers.
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109 citing papers in PubMed.
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- Comprehensive In Silico Analysis of the CXCL12, C55Y Mutation Reveals Structural and Functional Disruption in CXCR4/CXCR7 Signaling.Evolutionary bioinformatics online · 2026Article
- Discriminating activating, deactivating and resistance variants in protein kinases.Genome medicine · 2025Article
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- Accurate identification and mechanistic evaluation of pathogenic missense variants withProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Computational studies on the functional and structural impact of pathogenic mutations in enzymes.Protein science : a publication of the Protein Society · 2025Review
- XGBMUT: Predicting the Functional Impact of Missense Mutations Using an Extreme Gradient Boost Classifier.ACS omega · 2025Article
- Computational Analysis of Non-synonymous SNPs in ATM Kinase: Structural Insights, Functional Implications, and Inhibitor Discovery.Molecular biotechnology · 2025Article
- Computational and molecular insights on non-synonymous SNPs associated with human RAAS genes: Consequences for Hypertension vulnerability.Journal, genetic engineering & biotechnology · 2025Article
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- A structure-based tool to interpret the significance of kinase mutations in clinical next generation sequencing in cancer.Frontiers in oncology · 2025Article
- Genetic variants in theIn silico pharmacology · 2025Article
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- A systematic in-silico functional and structural analysis reveals deleterious missense nsSNPs in the humanMolecular biology research communications · 2025Article
49 more citing papers are in PubMed but not listed here.
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5 authors.
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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.
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