质谱图聚类网络法在鉴定多肽翻译后修饰中的应用及研究进展

Application and development of spectral network cluster method in post-translational modifications of identification peptides

摘要:

蛋白质组学多肽鉴定方法一直以基于质谱分析和数据库搜索的方法为主，随着质谱仪技术的发展，海量的质谱数据被获取，这为大规模蛋白质的鉴定提供了一个强大的数据仓库，使得以质谱数据为基础的蛋白质组学研究成为主流。传统的串联质谱图搜库方法鉴定多肽翻译后修饰时具有诸多局限，质谱网络方法可以在一定程度上弥补局限。文中系统综述了基于质谱聚类的质谱网络和质谱图库搜索方法的发展历程、理论研究和应用研究，讨论了质谱网络库方法在鉴定多肽翻译后修饰的优势，并进行了分析和展望。

Abstract:

Mass spectrometry and database searching are necessary to identify proteins and peptides. With the rapid development of mass spectrometry technology, mass spectrometry data in proteomics are acquired very quickly, providing a powerful method to identify large-scale proteins and peptides, making mass spectrometry data-based proteomics research more and more into the mainstream. The traditional database searching method has many limitations to identify post-translational modifications of peptides. This paper systematically reviews the development, theoretical concept and applications of spectral network method, and the advantages of spectral network library to identify peptides.