鸟枪蛋白质组学
计算生物学
蛋白质组学
蛋白质基因组学
猎枪
DNA测序
霰弹枪测序
工作流程
蛋白质测序
鉴定(生物学)
吉祥物
顺序装配
翻译后修饰
数据库搜索引擎
生物
计算机科学
基因组
肽序列
基因组学
数据库
遗传学
情报检索
搜索引擎
生物化学
DNA
基因
政治学
法学
酶
转录组
基因表达
植物
作者
Rui Vitorino,Sofia Guedes,Fábio Trindade,Inês Correia,Gabriela Moura,Paulo C. Carvalho,Manuel A. S. Santos,Francisco Amado
标识
DOI:10.1080/14789450.2020.1831387
摘要
Introduction Proteins are crucial for every cellular activity and unraveling their sequence and structure is a crucial step to fully understand their biology. Early methods of protein sequencing were mainly based on the use of enzymatic or chemical degradation of peptide chains. With the completion of the human genome project and with the expansion of the information available for each protein, various databases containing this sequence information were formed.Areas covered De novo protein sequencing, shotgun proteomics and other mass-spectrometric techniques, along with the various software are currently available for proteogenomic analysis. Emphasis is placed on the methods for de novo sequencing, together with potential and shortcomings using databases for interpretation of protein sequence data.Expert opinion As mass-spectrometry sequencing performance is improving with better software and hardware optimizations, combined with user-friendly interfaces, de-novo protein sequencing becomes imperative in shotgun proteomic studies. Issues regarding unknown or mutated peptide sequences, as well as, unexpected post-translational modifications (PTMs) and their identification through false discovery rate searches using the target/decoy strategy need to be addressed. Ideally, it should become integrated in standard proteomic workflows as an add-on to conventional database search engines, which then would be able to provide improved identification.
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