Computer Science Department, Stanford University, Stanford, CA 94305-9010, USA.
Mol Cell Proteomics. 2012 Nov;11(11):1097-104. doi: 10.1074/mcp.R111.014795. Epub 2012 Aug 3.
Discovery or shotgun proteomics has emerged as the most powerful technique to comprehensively map out a proteome. Reconstruction of protein identities from the raw mass spectrometric data constitutes a cornerstone of any shotgun proteomics workflow. The inherent uncertainty of mass spectrometric data and the complexity of a proteome render protein inference and the statistical validation of protein identifications a non-trivial task, still being a subject of ongoing research. This review aims to survey the different conceptual approaches to the different tasks of inferring and statistically validating protein identifications and to discuss their implications on the scope of proteome exploration.
发现或鸟枪法蛋白质组学已经成为全面绘制蛋白质组图谱的最强大技术。从原始质谱数据中重建蛋白质身份是任何鸟枪法蛋白质组学工作流程的基石。质谱数据的固有不确定性和蛋白质组的复杂性使得蛋白质推断和蛋白质鉴定的统计验证成为一项非平凡的任务,这仍然是正在进行的研究的主题。本文旨在调查不同概念方法在推断和统计验证蛋白质鉴定方面的不同任务,并讨论它们对蛋白质组探索范围的影响。