SIFT web server: predicting effects of amino acid substitutions on proteins

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 cha...

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Autores principales: Sim, Ngak-Leng, Kumar, Prateek, Hu, Jing, Henikoff, Steven, Schneider, Georg, Ng, Pauline C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394338/
https://www.ncbi.nlm.nih.gov/pubmed/22689647
http://dx.doi.org/10.1093/nar/gks539
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author Sim, Ngak-Leng
Kumar, Prateek
Hu, Jing
Henikoff, Steven
Schneider, Georg
Ng, Pauline C.
author_facet Sim, Ngak-Leng
Kumar, Prateek
Hu, Jing
Henikoff, Steven
Schneider, Georg
Ng, Pauline C.
author_sort Sim, Ngak-Leng
collection PubMed
description 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 independent data sets. The original developers have hosted the SIFT web server at FHCRC, JCVI and the web server is currently located at BII. The URL is http://sift-dna.org (24 May 2012, date last accessed).
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spelling pubmed-33943382012-07-30 SIFT web server: predicting effects of amino acid substitutions on proteins Sim, Ngak-Leng Kumar, Prateek Hu, Jing Henikoff, Steven Schneider, Georg Ng, Pauline C. Nucleic Acids Res Articles 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 independent data sets. The original developers have hosted the SIFT web server at FHCRC, JCVI and the web server is currently located at BII. The URL is http://sift-dna.org (24 May 2012, date last accessed). Oxford University Press 2012-07 2012-06-09 /pmc/articles/PMC3394338/ /pubmed/22689647 http://dx.doi.org/10.1093/nar/gks539 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Sim, Ngak-Leng
Kumar, Prateek
Hu, Jing
Henikoff, Steven
Schneider, Georg
Ng, Pauline C.
SIFT web server: predicting effects of amino acid substitutions on proteins
title SIFT web server: predicting effects of amino acid substitutions on proteins
title_full SIFT web server: predicting effects of amino acid substitutions on proteins
title_fullStr SIFT web server: predicting effects of amino acid substitutions on proteins
title_full_unstemmed SIFT web server: predicting effects of amino acid substitutions on proteins
title_short SIFT web server: predicting effects of amino acid substitutions on proteins
title_sort sift web server: predicting effects of amino acid substitutions on proteins
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394338/
https://www.ncbi.nlm.nih.gov/pubmed/22689647
http://dx.doi.org/10.1093/nar/gks539
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