Journal Article

SNAP predicts effect of mutations on protein function

Yana Bromberg, Guy Yachdav and Burkhard Rost

in Bioinformatics

Volume 24, issue 20, pages 2397-2398
Published in print October 2008 | ISSN: 1367-4803
Published online August 2008 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btn435

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Summary: Many non-synonymous single nucleotide polymor-phisms (nsSNPs) in humans are suspected to impact protein function. Here, we present a publicly available server implementation of the method SNAP (screening for non-acceptable polymorphisms) that predicts the functional effects of single amino acid substitutions. SNAP identifies over 80% of the non-neutral mutations at 77% accuracy and over 76% of the neutral mutations at 80% accuracy at its default threshold. Each prediction is associated with a reliability index that correlates with accuracy and thereby enables experimentalists to zoom into the most promising predictions.

Availability: Web-server: http://www.rostlab.org/services/SNAP; downloadable program available upon request.

Contact: bromberg@rostlab.org

Supplementary information: Supplementary data are available at Bioinformatics online.

Journal Article.  1276 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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