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用于包含翻译后修饰的串联质谱的肽序列标签生成

Peptide sequence tag generation for tandem mass spectra containing post-translational modifications.

作者信息

Li Hui, Liu Chunmei

机构信息

Department of Systems and Computer Science, Howard University, Washington, DC 20059, USA.

出版信息

Int J Comput Biol Drug Des. 2012;5(3-4):325-34. doi: 10.1504/IJCBDD.2012.049209. Epub 2012 Sep 24.

Abstract

Tandem mass spectrometry is a popular tool for the identification of peptide sequences. In this paper, we present a method for a rapid generation of short peptide sequences via tandem mass spectrometry based on a graph search method. The approach takes advantage of several pairs of peaks that have high intensities. We proposed a Pair Peak value Set (PPS) and used the pair peak values of highest intensities as the root of a tree. The other nodes are viewed as the reference nodes to search the most promising path. We aimed to determine the peptide sequences for MS/MS spectra that have low signal-to-noise ratios. Our experiment on 2420 experimental MS/MS spectra with two PTMs shows that our algorithm achieves better accuracy than the PepNovo approach with higher efficiency.

摘要

串联质谱是用于鉴定肽序列的一种常用工具。在本文中,我们提出了一种基于图搜索方法通过串联质谱快速生成短肽序列的方法。该方法利用了几对高强度的峰。我们提出了一个配对峰值集(PPS),并将最高强度的配对峰值用作树的根。将其他节点视为参考节点以搜索最有前景的路径。我们旨在确定具有低信噪比的MS/MS谱图的肽序列。我们对2420个带有两种翻译后修饰的实验性MS/MS谱图进行的实验表明,我们的算法比PepNovo方法具有更高的效率和更好的准确性。

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