摘要： 在现有RT-PSM算法的基础上，完成蛋白质数据库酶切成肽段数据库的转换过程，提出有效峰提取的优化策略，设计一个肽段鉴定算法——FPI-PSM。对于没有翻译后修饰的情形，采用Keller数据集进行测试。与RT-PSM算法相比，FPI-PSM算法的灵敏度提高了5%，每个质谱的平均鉴定时间从13.6 ms下降到5.6 ms。

关键词: 串联质谱, 肽段鉴定, 碎片离子, 有效峰提取

Abstract: Based on existing RT-PSM algorithm, this paper proposes a new peptide identification algorithm called FPI-PSM, which transforms the digestion of protein into peptide database and proposes an optimization strategy for effective peak extraction. Ignoring post-translational modification, it conducts tests on the recognized Keller dataset. Compared to RT-PSM, FPI-PSM improves the sensitivity by 5%, and decreases the average time of identifying each mass spectra from 13.6 ms to 5.6 ms.

Key words: tandem mass spectrum, peptide identification, fragmentions, effective peak extraction

中图分类号: 

• TP391