蛋白质组学质谱平台肽段可检测性预测研究进展

Advance of Peptide Detectability Prediction on Mass Spectrometry Platform in Proteomics

生物质谱是蛋白质组研究中的核心技术之一,可以实现大规模、高通量的蛋白质定性和定量分析。由于样品和实验过程自身的复杂性,质谱实验的重复性还存在一些问题,肽段鉴定和定量结果有很大的随机性,肽段的质谱检测概率问题在蛋白质组研究中,特别是定量蛋白质组研究中备受关注。本文总结了影响肽段可检测性的重要因素,分析了已经提出的计算预测方法,并对其在实验研究中的应用进行了综述。

As the complexity of samples and experimental processes,the repeatability of mass spectrometry experiments is still not satisfactory,the results of peptide identification and quantification show high randomicity,the probability of peptide being detected by mass spectrometry in proteome research,especially in quantitative proteomic study,has received much attention.Therefore,a lot of experimental researches have been done,as well as a number of computational prediction methods have been developed.In this article,we summarized the important factors impacting the peptide detectability,investigated the existing prediction methods and reviewed their applications in experimental study.