Abstract: One of the main objectives of proteomics is to identify and quantify proteins in a tissue or a cell. Tandem mass spectrum has been proved to be a powerful tool to achieve this goal. This paper presents a review on the protein identification approaches based on tandem mass spectrometry， including database searching methods， De Novo methods， PST （peptide sequence tag） methods， and spectra library methods. It also introduces the research on peptide fragmentation principle， amino acids neutral losses， and peptide identification. Finally， the viewpoints on the development of mass spectrum techniques are described.

Key words: proteomics, tandem mass spectrum, database searching method, De Novo method, spectra library method

摘要： 蛋白质组学的主要目的是鉴定出生物体内的蛋白质的种类和数量。为达到这个目的，人们开发了多种蛋白质鉴定算法，包括数据库搜索方法、De Novo方法、PST（肽段序列标签）方法和质谱数据库方法。首先介绍了质谱仪中肽段断裂机理的研究，以及相关的质谱鉴定方法，然后综述了当前常用的蛋白质鉴定方法，分析了这些方法的优缺点，最后提出了自己的见解和展望。

关键词: 蛋白质组学, 串联质谱, 数据库搜索方法, De Novo算法, 质谱数据库方法