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Title | SNAP predicts effect of mutations on protein function. |
Publication Type | Journal Article |
Year of Publication | 2008 |
Authors | Bromberg, Y, Yachdav, G, Rost, B |
Journal | Bioinformatics |
Volume | 24 |
Issue | 20 |
Pagination | 2397-8 |
Date Published | 2008 Oct 15 |
ISSN | 1367-4811 |
Keywords | Amino Acid Substitution, Computational Biology, Databases, Protein, Humans, Mutation, Polymorphism, Single Nucleotide, Proteins, Software |
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. |
DOI | 10.1093/bioinformatics/btn435 |
Alternate Journal | Bioinformatics |
PubMed ID | 18757876 |
PubMed Central ID | PMC2562009 |
Grant List | 5-R01-LM007329-04 / LM / NLM NIH HHS / United States R01 LM007329-06 / LM / NLM NIH HHS / United States |