title: SNAP predicts effect of mutations on protein function.
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.
authors.affiliation: Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA. bromberg@rostlab.org
authors.forename: Yana
authors.initials: Y
authors.lastname: Bromberg
authors.forename: Guy
authors.initials: G
authors.lastname: Yachdav
authors.forename: Burkhard
authors.initials: B
authors.lastname: Rost