Abstract:
: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, which sorts intolerant from tolerant 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. Using SIFT before mutagenesis studies could reduce the number of functional assays required and yield a higher proportion of affected phenotypes. may be used to identify plausible disease candidates among the SNPs that cause missense substitutions.
journal_name
Genome Resjournal_title
Genome researchauthors
Ng PC,Henikoff Sdoi
10.1101/gr.176601subject
Has Abstractpub_date
2001-05-01 00:00:00pages
863-74issue
5eissn
1088-9051issn
1549-5469journal_volume
11pub_type
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