SNAP predicts effect of mutations on protein function.

TitleSNAP predicts effect of mutations on protein function.
Publication TypeJournal Article
Year of Publication2008
AuthorsBromberg, Y, Yachdav, G, Rost, B
Date Published2008 Oct 15
KeywordsAmino Acid Substitution, Computational Biology, Databases, Protein, Humans, Mutation, Polymorphism, Single Nucleotide, Proteins, Software

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.

Alternate JournalBioinformatics
PubMed ID18757876
PubMed Central IDPMC2562009
Grant List5-R01-LM007329-04 / LM / NLM NIH HHS / United States
R01 LM007329-06 / LM / NLM NIH HHS / United States