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AWESOME: a database of SNPs that affect protein post-translational modifications
Protein post-translational modifications (PTMs), including phosphorylation, ubiquitination, methylation, acetylation, glycosylation et al, are very important biological processes. PTM changes in some critical genes, which may be induced by base-pair substitution, are shown to affect the risk of dise...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324025/ https://www.ncbi.nlm.nih.gov/pubmed/30215764 http://dx.doi.org/10.1093/nar/gky821 |
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author | Yang, Yang Peng, Xiating Ying, Pingting Tian, Jianbo Li, Jiaoyuan Ke, Juntao Zhu, Ying Gong, Yajie Zou, Danyi Yang, Nan Wang, Xiaoyang Mei, Shufang Zhong, Rong Gong, Jing Chang, Jiang Miao, Xiaoping |
author_facet | Yang, Yang Peng, Xiating Ying, Pingting Tian, Jianbo Li, Jiaoyuan Ke, Juntao Zhu, Ying Gong, Yajie Zou, Danyi Yang, Nan Wang, Xiaoyang Mei, Shufang Zhong, Rong Gong, Jing Chang, Jiang Miao, Xiaoping |
author_sort | Yang, Yang |
collection | PubMed |
description | Protein post-translational modifications (PTMs), including phosphorylation, ubiquitination, methylation, acetylation, glycosylation et al, are very important biological processes. PTM changes in some critical genes, which may be induced by base-pair substitution, are shown to affect the risk of diseases. Recently, large-scale exome-wide association studies found that missense single nucleotide polymorphisms (SNPs) play an important role in the susceptibility for complex diseases or traits. One of the functional mechanisms of missense SNPs is that they may affect PTMs and leads to a protein dysfunction and its downstream signaling pathway disorder. Here, we constructed a database named AWESOME (A Website Exhibits SNP On Modification Event, http://www.awesome-hust.com), which is an interactive web-based analysis tool that systematically evaluates the role of SNPs on nearly all kinds of PTMs based on 20 available tools. We also provided a well-designed scoring system to compare the performance of different PTM prediction tools and help users to get a better interpretation of results. Users can search SNPs, genes or position of interest, filter with specific modifications or prediction methods, to get a comprehensive PTM change induced by SNPs. In summary, our database provides a convenient way to detect PTM-related SNPs, which may potentially be pathogenic factors or therapeutic targets. |
format | Online Article Text |
id | pubmed-6324025 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-63240252019-01-10 AWESOME: a database of SNPs that affect protein post-translational modifications Yang, Yang Peng, Xiating Ying, Pingting Tian, Jianbo Li, Jiaoyuan Ke, Juntao Zhu, Ying Gong, Yajie Zou, Danyi Yang, Nan Wang, Xiaoyang Mei, Shufang Zhong, Rong Gong, Jing Chang, Jiang Miao, Xiaoping Nucleic Acids Res Database Issue Protein post-translational modifications (PTMs), including phosphorylation, ubiquitination, methylation, acetylation, glycosylation et al, are very important biological processes. PTM changes in some critical genes, which may be induced by base-pair substitution, are shown to affect the risk of diseases. Recently, large-scale exome-wide association studies found that missense single nucleotide polymorphisms (SNPs) play an important role in the susceptibility for complex diseases or traits. One of the functional mechanisms of missense SNPs is that they may affect PTMs and leads to a protein dysfunction and its downstream signaling pathway disorder. Here, we constructed a database named AWESOME (A Website Exhibits SNP On Modification Event, http://www.awesome-hust.com), which is an interactive web-based analysis tool that systematically evaluates the role of SNPs on nearly all kinds of PTMs based on 20 available tools. We also provided a well-designed scoring system to compare the performance of different PTM prediction tools and help users to get a better interpretation of results. Users can search SNPs, genes or position of interest, filter with specific modifications or prediction methods, to get a comprehensive PTM change induced by SNPs. In summary, our database provides a convenient way to detect PTM-related SNPs, which may potentially be pathogenic factors or therapeutic targets. Oxford University Press 2019-01-08 2018-09-12 /pmc/articles/PMC6324025/ /pubmed/30215764 http://dx.doi.org/10.1093/nar/gky821 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Yang, Yang Peng, Xiating Ying, Pingting Tian, Jianbo Li, Jiaoyuan Ke, Juntao Zhu, Ying Gong, Yajie Zou, Danyi Yang, Nan Wang, Xiaoyang Mei, Shufang Zhong, Rong Gong, Jing Chang, Jiang Miao, Xiaoping AWESOME: a database of SNPs that affect protein post-translational modifications |
title | AWESOME: a database of SNPs that affect protein post-translational modifications |
title_full | AWESOME: a database of SNPs that affect protein post-translational modifications |
title_fullStr | AWESOME: a database of SNPs that affect protein post-translational modifications |
title_full_unstemmed | AWESOME: a database of SNPs that affect protein post-translational modifications |
title_short | AWESOME: a database of SNPs that affect protein post-translational modifications |
title_sort | awesome: a database of snps that affect protein post-translational modifications |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324025/ https://www.ncbi.nlm.nih.gov/pubmed/30215764 http://dx.doi.org/10.1093/nar/gky821 |
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