Institute for Translational Medicine and Therapeutics, University of Pennsylvania, 421 Curie Blvd., Philadelphia, PA 19104, USA.
Arch Physiol Biochem. 2009 Dec;115(5):311-9. doi: 10.3109/13813450903390039.
Shotgun proteomic strategies based on the identification of proteolytic peptides by tandem mass spectrometry and sequence database searches have emerged as useful approaches for qualitative and quantitative measurement of proteins in large scale studies. Coincidentally, the automated analysis of the resulting mass spectrometry data has become increasingly challenging. Important steps in the analysis include the statistical validation of peptide and protein identifications, the extraction of quantitative information, and the interpretation of identified peptide and protein lists. This review discusses current informatics methods and software available to analyze shotgun proteomics data.
基于串联质谱鉴定酶解肽和序列数据库搜索的 shotgun 蛋白质组学策略,已经成为大规模研究中蛋白质定性和定量测量的有用方法。巧合的是,对所得质谱数据的自动分析变得越来越具有挑战性。分析中的重要步骤包括肽和蛋白质鉴定的统计验证、定量信息的提取以及鉴定的肽和蛋白质列表的解释。本文综述了当前可用于分析 shotgun 蛋白质组学数据的信息学方法和软件。