| 基于串联质谱的快速肽段鉴定算法 |
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| 引用本文： | 邵明芝,徐云,王颖,李文军.基于串联质谱的快速肽段鉴定算法[J].计算机工程,2010,36(18):214-216. |
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| 作者姓名： | 邵明芝 徐云 王颖 李文军 |
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| 作者单位： | 中国科学技术大学计算机科学技术系,合肥,230026;安徽省高性能计算重点实验室,合肥,230026 |
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| 基金项目： | 国家自然科学基金资助重点项目 |
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| 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。
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| 关 键 词： | 串联质谱 肽段鉴定 碎片离子 有效峰提取 |
Fast Peptide Identification Algorithm Based on Tandem Mass Spectrum |
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| SHAO Ming-zhi,XU Yun,WANG Ying,LI Wen-jun.Fast Peptide Identification Algorithm Based on Tandem Mass Spectrum[J].Computer Engineering,2010,36(18):214-216. |
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| Authors: | SHAO Ming-zhi XU Yun WANG Ying LI Wen-jun |
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| Affiliation: | (1. Department of Computer Science and Technology, University of Science and Technology of China, Hefei 230026, China; 2. Anhui Province Key Laboratory of High Performance Computing, Hefei 230026, China) |
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| 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. |
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| Keywords: | tandem mass spectrum peptide identification fragmentions effective peak extraction |
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