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.
Year
DOI
Venue
2008
10.1093/bioinformatics/btn435
Bioinformatics
Keywords
Field
DocType
single amino acid substitution,functional effect,bioinformatics online,non-synonymous single nucleotide polymor-phisms,downloadable program,method snap,available server implementation,default threshold,impact protein function,supplementary information,computational biology,mutation,proteins
Computer science,Neutral mutation,Snap,Protein function,Bioinformatics,Genetics,Mutation
Journal
Volume
Issue
ISSN
24
20
1367-4811
Citations 
PageRank 
References 
19
0.88
11
Authors
3
Name
Order
Citations
PageRank
Yana Bromberg1759.13
Guy Yachdav211510.71
Burkhard Rost379588.14