Predicting deleterious amino acid substitutions.

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 Res

journal_title

Genome research

authors

Ng PC,Henikoff S

doi

10.1101/gr.176601

subject

Has Abstract

pub_date

2001-05-01 00:00:00

pages

863-74

issue

5

eissn

1088-9051

issn

1549-5469

journal_volume

11

pub_type

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