Advance of Peptide Detectability Prediction on Mass Spectrometry Platform in Proteomics / 分析化学

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.