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AWESOME:一个影响蛋白质翻译后修饰的 SNP 数据库。

AWESOME: a database of SNPs that affect protein post-translational modifications.

机构信息

Key Laboratory for Environment and Health (Ministry of Education), Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, 430030, China.

出版信息

Nucleic Acids Res. 2019 Jan 8;47(D1):D874-D880. doi: 10.1093/nar/gky821.

Abstract

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.

摘要

蛋白质翻译后修饰(PTMs),包括磷酸化、泛素化、甲基化、乙酰化、糖基化等,是非常重要的生物学过程。一些关键基因的 PTM 改变,可能由碱基对替换引起,被认为会影响疾病的风险。最近,大规模外显子组全基因组关联研究发现,错义单核苷酸多态性(SNPs)在复杂疾病或性状的易感性中起着重要作用。错义 SNPs 的功能机制之一是,它们可能影响 PTMs,导致蛋白质功能障碍及其下游信号通路紊乱。在这里,我们构建了一个名为 AWESOME(A Website Exhibits SNP On Modification Event,http://www.awesome-hust.com)的数据库,这是一个交互式的基于网络的分析工具,它基于 20 种可用工具,系统地评估 SNPs 对几乎所有类型的 PTMs 的作用。我们还提供了一个精心设计的评分系统,用于比较不同 PTM 预测工具的性能,帮助用户更好地解释结果。用户可以搜索感兴趣的 SNPs、基因或位置,通过特定的修饰或预测方法进行筛选,以获得 SNP 诱导的全面 PTM 变化。总之,我们的数据库提供了一种方便的方法来检测与 PTM 相关的 SNPs,这些 SNPs 可能是潜在的致病因素或治疗靶点。

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