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Proteomics today: Bioinformatics at its best. Proteomics and bioinformatics - An inseparable couple

机译:当今的蛋白质组学:最佳生物信息学。蛋白质组学与生物信息学-密不可分

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摘要

Proteomics is one of the most rapidly evolving fields in natural science since the early 1990s when Marc Willdns introduced this term. It encompasses the techniques used to screen and determine the proteins produced by the DNA of a cell [1]. From the very beginning, proteomics has been closely connected with protein separation via gels or chromatography and protein detection via Edmann sequencing or mass spectrometry (see overview [2] and [3]). In particular, the use of mass specrrometfy leads to enormous amounts of data that - once generated - have to be analysed and stored. In consequence, databases such as UniProtKB/SwissProt [4], NCBI or IPI have been developed, search engines such as Mascot, Sequest and Phenyx have been written and data handling systems such as Mascot Integra, ProteinScape, PRIDE have been created. From the very beginning, Proteomics and Bioinformatics belong together like Laurel and Hardy.
机译:自1990年代初Marc Willdns提出这个术语以来,蛋白质组学是自然科学中发展最快的领域之一。它涵盖了用于筛选和确定细胞DNA产生的蛋白质的技术[1]。从一开始,蛋白质组学就与通过凝胶或色谱分离蛋白质和通过埃德曼测序或质谱检测蛋白质紧密相关(请参见概述[2]和[3])。特别是,质谱的使用会导致产生大量数据,这些数据一旦生成,就必须进行分析和存储。结果,开发了UniProtKB / SwissProt [4],NCBI或IPI等数据库,编写了Mascot,Sequest和Phenyx等搜索引擎,并创建了Mascot Integra,ProteinScape,PRIDE等数据处理系统。从一开始,蛋白质组学和生物信息学就如Laurel和Hardy一样并入。

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