Sheng Quan-Hu, Tang Hai-Xu, Xie Tao, Wang Lian-Shui, Ding Da-Fu
Key Laboratory of Proteomics, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, the Chinese Academy of Sciences, Shanghai 200031, China.
Sheng Wu Hua Xue Yu Sheng Wu Wu Li Xue Bao (Shanghai). 2003 Aug;35(8):734-40.
High throughput scoring algorithms that are used to find the match of a tandem mass spectrum to a predicted mass spectrum of a peptide within a database have been applied in shotgun proteomics. However, these algorithms could produce a significant number of incorrect peptide identifications. Here a novel approach was developed to scoring tandem mass spectra against a peptide database, in which fragment ion probabilities, number of enzymatic termini of candidate peptides, matching quality and match pattern between experimental and theoretical spectrum were considered. Benchmarking the novel scorer on a large set of experimental MS/MS spectra, it is demonstrated that PepSearch performs significantly better than the widely used software SEQUEST. The PepSearch software is available at http://compbio.sibsnet.org/projects/pepsearch.
用于在数据库中寻找串联质谱与肽段预测质谱匹配的高通量评分算法已应用于鸟枪法蛋白质组学中。然而,这些算法可能会产生大量错误的肽段鉴定结果。在此,开发了一种针对肽段数据库对串联质谱进行评分的新方法,该方法考虑了碎片离子概率、候选肽段的酶切末端数量、匹配质量以及实验光谱与理论光谱之间的匹配模式。在大量实验性MS/MS光谱上对这种新评分器进行基准测试,结果表明PepSearch的性能明显优于广泛使用的软件SEQUEST。PepSearch软件可从http://compbio.sibsnet.org/projects/pepsearch获取。