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首页> 外文期刊>Journal of Bioinformatics and Computational Biology >COMPLEXITIES AND ALGORITHMS FOR GLYCAN SEQUENCING USING TANDEM MASS SPECTROMETRY
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COMPLEXITIES AND ALGORITHMS FOR GLYCAN SEQUENCING USING TANDEM MASS SPECTROMETRY

机译:串联质谱法进行糖链测序的复杂性和算法

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摘要

Determining glycan structures is vital to comprehend cell-matrix, cell-cell, and even intracellular biological events. Glycan sequencing, which determines the primary structure of a glycan using tandem mass spectrometry (MS/MS), remains one of the most important tasks in proteomics. Analogous to peptide de novo sequencing, glycan de novo sequencing determines the structure without the aid of a known glycan database. We show in this paper that glycan de novo sequencing is NP-hard. We then provide a heuristic algorithm and develop a software program to solve the problem in practical cases. Experiments on real MS/MS data of glycopeptides demonstrate that our heuristic algorithm gives satisfactory results on practical data.
机译:确定聚糖结构对于理解细胞基质,细胞间甚至细胞内生物学事件至关重要。使用串联质谱(MS / MS)来确定聚糖的一级结构的聚糖测序仍然是蛋白质组学中最重要的任务之一。类似于从头进行肽测序,从头进行聚糖测序无需借助已知的聚糖数据库即可确定结构。我们在本文中显示,聚糖从头测序是NP-hard的。然后,我们提供一种启发式算法,并开发一个软件程序来解决实际情况下的问题。对糖肽的真实MS / MS数据进行的实验表明,我们的启发式算法在实际数据上给出了令人满意的结果。

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