Predicting Deleterious Amino Acid Substitutions

Genome Research - Tập 11 Số 5 - Trang 863-874 - 2001
Pauline C. Ng1,2, Steven Henikoff2,3
1Department of Bioengineering, University of Washington, Seattle, Washington 98105, USA;
2Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
3Howard Hughes Medical Institute, Seattle, Washington 98109, USA

Tóm tắt

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.

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Genome Research

Tập 11 Số 5

863-874

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