Journal
BIOINFORMATICS
Volume 24, Issue 20, Pages 2397-2398Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btn435
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Funding
- National Library of Medicine [5-RO1-LM007 329-04]
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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.
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