Korea Institute of Science and Technology, Seoul, Republic of Korea.
J Proteome Res. 2010 Feb 5;9(2):1150-6. doi: 10.1021/pr9006377.
Shotgun proteomics using mass spectrometry (MS) has become the choice for large-scale peptide and protein identification. The recent development of high-resolution mass spectrometers such as FT-ICR or Orbitrap makes it possible to identify peptides within only a few parts per million (ppm), and it is expected to dramatically improve performance of peptide identification, as compared to low-resolution instruments. To fully exploit such significantly higher mass accuracy, however, appropriate data analysis methods are required. Here, we present a new target-decoy strategy, called Target-Decoy with Mass Binning, utilizing high mass accuracy for peptide identification validation, which remains a challenging problem in MS-based proteomics. When tested on various high-resolution MS data, our method was very effective and yet simple and showed comparable or better performance when compared with other validation methods.
基于质谱(MS)的鸟枪法蛋白质组学已成为大规模肽和蛋白质鉴定的首选方法。最近,傅里叶变换离子回旋共振(FT-ICR)或轨道阱等高分辨率质谱仪的发展使得仅在百万分之几(ppm)的范围内鉴定肽成为可能,这有望极大地提高肽鉴定的性能,与低分辨率仪器相比。然而,要充分利用这种显著提高的质量精度,需要适当的数据分析方法。在这里,我们提出了一种新的靶标-诱饵策略,称为质量分箱的靶标-诱饵,利用高质量精度进行肽鉴定验证,这仍然是 MS 蛋白质组学中的一个具有挑战性的问题。在各种高分辨率 MS 数据上进行测试时,我们的方法非常有效,而且简单,与其他验证方法相比,表现相当或更好。