A web server for inferring the human N-acetyltransferase-2 (NAT2) enzymatic phenotype from NAT2 genotype

Summary:N-acetyltransferase-2 (NAT2) is an important enzyme that catalyzes the acetylation of aromatic and heterocyclic amine carcinogens. Individuals in human populations are divided into three NAT2 acetylator phenotypes: slow, rapid and intermediate. NAT2PRED is a web server that implements a supe...

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Detalles Bibliográficos
Autores principales: Kuznetsov, Igor B., McDuffie, Michael, Moslehi, Roxana
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2672629/
https://www.ncbi.nlm.nih.gov/pubmed/19261719
http://dx.doi.org/10.1093/bioinformatics/btp121
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author Kuznetsov, Igor B.
McDuffie, Michael
Moslehi, Roxana
author_facet Kuznetsov, Igor B.
McDuffie, Michael
Moslehi, Roxana
author_sort Kuznetsov, Igor B.
collection PubMed
description Summary:N-acetyltransferase-2 (NAT2) is an important enzyme that catalyzes the acetylation of aromatic and heterocyclic amine carcinogens. Individuals in human populations are divided into three NAT2 acetylator phenotypes: slow, rapid and intermediate. NAT2PRED is a web server that implements a supervised pattern recognition method to infer NAT2 phenotype from SNPs found in NAT2 gene positions 282, 341, 481, 590, 803 and 857. The web server can be used for a fast determination of NAT2 phenotypes in genetic screens. Availability:Freely available at http://nat2pred.rit.albany.edu Contact:ikuznetsov@albany.edu; rmoslehi@albany.edu Supplementary information:Supplementary data are available at Bioinformatics online.
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spelling pubmed-26726292009-04-29 A web server for inferring the human N-acetyltransferase-2 (NAT2) enzymatic phenotype from NAT2 genotype Kuznetsov, Igor B. McDuffie, Michael Moslehi, Roxana Bioinformatics Applications Note Summary:N-acetyltransferase-2 (NAT2) is an important enzyme that catalyzes the acetylation of aromatic and heterocyclic amine carcinogens. Individuals in human populations are divided into three NAT2 acetylator phenotypes: slow, rapid and intermediate. NAT2PRED is a web server that implements a supervised pattern recognition method to infer NAT2 phenotype from SNPs found in NAT2 gene positions 282, 341, 481, 590, 803 and 857. The web server can be used for a fast determination of NAT2 phenotypes in genetic screens. Availability:Freely available at http://nat2pred.rit.albany.edu Contact:ikuznetsov@albany.edu; rmoslehi@albany.edu Supplementary information:Supplementary data are available at Bioinformatics online. Oxford University Press 2009-05-01 2009-03-04 /pmc/articles/PMC2672629/ /pubmed/19261719 http://dx.doi.org/10.1093/bioinformatics/btp121 Text en © 2009 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Kuznetsov, Igor B.
McDuffie, Michael
Moslehi, Roxana
A web server for inferring the human N-acetyltransferase-2 (NAT2) enzymatic phenotype from NAT2 genotype
title A web server for inferring the human N-acetyltransferase-2 (NAT2) enzymatic phenotype from NAT2 genotype
title_full A web server for inferring the human N-acetyltransferase-2 (NAT2) enzymatic phenotype from NAT2 genotype
title_fullStr A web server for inferring the human N-acetyltransferase-2 (NAT2) enzymatic phenotype from NAT2 genotype
title_full_unstemmed A web server for inferring the human N-acetyltransferase-2 (NAT2) enzymatic phenotype from NAT2 genotype
title_short A web server for inferring the human N-acetyltransferase-2 (NAT2) enzymatic phenotype from NAT2 genotype
title_sort web server for inferring the human n-acetyltransferase-2 (nat2) enzymatic phenotype from nat2 genotype
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2672629/
https://www.ncbi.nlm.nih.gov/pubmed/19261719
http://dx.doi.org/10.1093/bioinformatics/btp121
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