RT Journal
A1 Ng, Pauline C.
A1 Henikoff, Steven
T1 Predicting Deleterious Amino Acid Substitutions
JF Genome Research 
JO Genome Research 
YR 2001 
FD May 01 
VO 11 
IS 5 
SP 863 
OP 874 
DO 10.1101/gr.176601 
UL http://genome.cshlp.org/content/11/5/863.abstract 
AB Many missense substitutions are identified in single nucleotide polymorphism (SNP) data and large-scale random mutagenesis projects. Each amino acid substitution potentially affects protein function. We have constructed a tool that uses sequence homology to predict whether a substitution affects protein function. SIFT, whichsorts intolerant fromtolerant substitutions, classifies substitutions as tolerated or deleterious. A higher proportion of substitutions predicted to be deleterious by SIFT gives an affected phenotype than substitutions predicted to be deleterious by substitution scoring matrices in three test cases. UsingSIFT before mutagenesis studies could reduce the number of functional assays required and yield a higher proportion of affected phenotypes. SIFT may be used to identify plausible disease candidates among the SNPs that cause missense substitutions.