2012
DOI: 10.1093/nar/gks539
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SIFT web server: predicting effects of amino acid substitutions on proteins

Abstract: The Sorting Intolerant from Tolerant (SIFT) algorithm predicts the effect of coding variants on protein function. It was first introduced in 2001, with a corresponding website that provides users with predictions on their variants. Since its release, SIFT has become one of the standard tools for characterizing missense variation. We have updated SIFT’s genome-wide prediction tool since our last publication in 2009, and added new features to the insertion/deletion (indel) tool. We also show accuracy metrics on … Show more

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Cited by 1,867 publications
(1,472 citation statements)
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References 35 publications
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“…28 P653L PDGFRA can affect protein function, as predicted by four different computational tools. [19][20][21][22] PDGFRA immunoreactivity, variable in inflammatory fibroid polyps and fibrous tumors, and evident in GISTs, was faintly + /negative in non-tumoral tissue (Figures 2e and f, 3g and i, and 4e). Although PDGFRA immunohistochemistry can be problematic, 29 these consistently observed differences in PDGFRA immunoreactivity probably conceal additional events of PDGFRA tumorigenesis in relation to the germline PDGFRA mutation in background.…”
Section: Discussionmentioning
confidence: 97%
See 1 more Smart Citation
“…28 P653L PDGFRA can affect protein function, as predicted by four different computational tools. [19][20][21][22] PDGFRA immunoreactivity, variable in inflammatory fibroid polyps and fibrous tumors, and evident in GISTs, was faintly + /negative in non-tumoral tissue (Figures 2e and f, 3g and i, and 4e). Although PDGFRA immunohistochemistry can be problematic, 29 these consistently observed differences in PDGFRA immunoreactivity probably conceal additional events of PDGFRA tumorigenesis in relation to the germline PDGFRA mutation in background.…”
Section: Discussionmentioning
confidence: 97%
“…The P653L PDGFRA missense mutation was predicted with four different computational tools: 'SIFT', 19 'PolyPhen-2', 20 'SNPs&GO', 21 and PROVEAN. 22 Further details are reported in Supplementary Materials and Methods.…”
Section: Bioinformatics Analysismentioning
confidence: 99%
“…washington.edu) databases. The impact of predicted aa changes on protein structure and function was assessed by SIFT 11 and PolyPhen-2 (http://genetics. bwh.harvard.edu/pph2).…”
Section: Dna Analysismentioning
confidence: 99%
“…After identification of variants, allele frequencies were assessed in controls using restriction endonuclease digestion (Ava II) or using HybProbe chemistry and a LightCycler (Roche, Mannheim, Germany). The significance of the identified variant p.R47W was assessed by considering the conservation of the affected amino acid, the nature and location of the change, its rarity assessed in own controls and population-based datasets, and the possible impact of the amino acid substitution by five different mutation prediction tools (Mutation Taster [9], MutPred [10], SIFT [11], Polyphen2 [12], and SNAP [13]). We analyzed p.R47W by checking two large population-based databases, dbSNP (release 138 at http://www.ncbi.nlm.nih.gov/snp) and the Exome Sequencing Project (ESP6500SI-V2 dataset) of the National Heart, Lung and Blood Institute (http://evs.gs.washington.edu/EVS/ [14]).…”
Section: Methodsmentioning
confidence: 99%