Literature DB >> 12824425

SIFT: Predicting amino acid changes that affect protein function.

Pauline C Ng1, Steven Henikoff.   

Abstract

Single nucleotide polymorphism (SNP) studies and random mutagenesis projects identify amino acid substitutions in protein-coding regions. Each substitution has the potential to affect protein function. SIFT (Sorting Intolerant From Tolerant) is a program that predicts whether an amino acid substitution affects protein function so that users can prioritize substitutions for further study. We have shown that SIFT can distinguish between functionally neutral and deleterious amino acid changes in mutagenesis studies and on human polymorphisms. SIFT is available at http://blocks.fhcrc.org/sift/SIFT.html.

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Year:  2003        PMID: 12824425      PMCID: PMC168916          DOI: 10.1093/nar/gkg509

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  13 in total

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Authors:  S T Sherry; M H Ward; M Kholodov; J Baker; L Phan; E M Smigielski; K Sirotkin
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

2.  Predicting the functional consequences of non-synonymous single nucleotide polymorphisms: structure-based assessment of amino acid variation.

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Journal:  J Mol Biol       Date:  2001-03-23       Impact factor: 5.469

3.  Prediction of deleterious human alleles.

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Journal:  Hum Mol Genet       Date:  2001-03-15       Impact factor: 6.150

4.  Accounting for human polymorphisms predicted to affect protein function.

Authors:  Pauline C Ng; Steven Henikoff
Journal:  Genome Res       Date:  2002-03       Impact factor: 9.043

5.  Predicting deleterious amino acid substitutions.

Authors:  P C Ng; S Henikoff
Journal:  Genome Res       Date:  2001-05       Impact factor: 9.043

6.  Evaluation of structural and evolutionary contributions to deleterious mutation prediction.

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Journal:  J Mol Biol       Date:  2002-09-27       Impact factor: 5.469

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Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

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10.  Human non-synonymous SNPs: server and survey.

Authors:  Vasily Ramensky; Peer Bork; Shamil Sunyaev
Journal:  Nucleic Acids Res       Date:  2002-09-01       Impact factor: 16.971

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  2000 in total

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