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Bioinformatics. 2008 Oct 15;24(20):2397-8. doi: 10.1093/bioinformatics/btn435. Epub 2008 Aug 30.

SNAP predicts effect of mutations on protein function.

Author information

1
Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA. bromberg@rostlab.org

Abstract

Many non-synonymous single nucleotide polymorphisms (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.

PMID:
18757876
PMCID:
PMC2562009
DOI:
10.1093/bioinformatics/btn435
[Indexed for MEDLINE]
Free PMC Article
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