Genome-wide analysis to predict protein sequence variations that change phosphorylation sites or their corresponding kinases

We define phosphovariants as genetic variations that change phosphorylation sites or their interacting kinases. Considering the essential role of phosphorylation in protein functions, it is highly likely that phosphovariants change protein functions. Therefore, a comparison of phosphovariants betwee...

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Autores principales: Ryu, Gil-Mi, Song, Pamela, Kim, Kyu-Won, Oh, Kyung-Soo, Park, Keun-Joon, Kim, Jong Hun
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2651802/
https://www.ncbi.nlm.nih.gov/pubmed/19139070
http://dx.doi.org/10.1093/nar/gkn1008
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author Ryu, Gil-Mi
Song, Pamela
Kim, Kyu-Won
Oh, Kyung-Soo
Park, Keun-Joon
Kim, Jong Hun
author_facet Ryu, Gil-Mi
Song, Pamela
Kim, Kyu-Won
Oh, Kyung-Soo
Park, Keun-Joon
Kim, Jong Hun
author_sort Ryu, Gil-Mi
collection PubMed
description We define phosphovariants as genetic variations that change phosphorylation sites or their interacting kinases. Considering the essential role of phosphorylation in protein functions, it is highly likely that phosphovariants change protein functions. Therefore, a comparison of phosphovariants between individuals or between species can give clues about phenotypic differences. We categorized phosphovariants into three subtypes and developed a system that predicts them. Our method can be used to screen important polymorphisms and help to identify the mechanisms of genetic diseases.
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spelling pubmed-26518022009-03-13 Genome-wide analysis to predict protein sequence variations that change phosphorylation sites or their corresponding kinases Ryu, Gil-Mi Song, Pamela Kim, Kyu-Won Oh, Kyung-Soo Park, Keun-Joon Kim, Jong Hun Nucleic Acids Res Computational Biology We define phosphovariants as genetic variations that change phosphorylation sites or their interacting kinases. Considering the essential role of phosphorylation in protein functions, it is highly likely that phosphovariants change protein functions. Therefore, a comparison of phosphovariants between individuals or between species can give clues about phenotypic differences. We categorized phosphovariants into three subtypes and developed a system that predicts them. Our method can be used to screen important polymorphisms and help to identify the mechanisms of genetic diseases. Oxford University Press 2009-03 2009-01-12 /pmc/articles/PMC2651802/ /pubmed/19139070 http://dx.doi.org/10.1093/nar/gkn1008 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 Computational Biology
Ryu, Gil-Mi
Song, Pamela
Kim, Kyu-Won
Oh, Kyung-Soo
Park, Keun-Joon
Kim, Jong Hun
Genome-wide analysis to predict protein sequence variations that change phosphorylation sites or their corresponding kinases
title Genome-wide analysis to predict protein sequence variations that change phosphorylation sites or their corresponding kinases
title_full Genome-wide analysis to predict protein sequence variations that change phosphorylation sites or their corresponding kinases
title_fullStr Genome-wide analysis to predict protein sequence variations that change phosphorylation sites or their corresponding kinases
title_full_unstemmed Genome-wide analysis to predict protein sequence variations that change phosphorylation sites or their corresponding kinases
title_short Genome-wide analysis to predict protein sequence variations that change phosphorylation sites or their corresponding kinases
title_sort genome-wide analysis to predict protein sequence variations that change phosphorylation sites or their corresponding kinases
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2651802/
https://www.ncbi.nlm.nih.gov/pubmed/19139070
http://dx.doi.org/10.1093/nar/gkn1008
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