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使用聚糖途径预测器(GPP)工具分析聚糖结构合成。

Analyzing glycan structure synthesis with the Glycan Pathway Predictor (GPP) Tool.

作者信息

Aoki-Kinoshita Kiyoko F

机构信息

Department of Bioinformatics, Faculty of Engineering, Soka University, 1-236 Tangi-machi, Hachioji, Tokyo, 192-8577, Japan,

出版信息

Methods Mol Biol. 2015;1273:139-47. doi: 10.1007/978-1-4939-2343-4_10.

Abstract

This chapter describes the Glycan Pathway Predictor Tool, which is available as a part of the RINGS (Resource for INformatics of Glycomes at Soka) website at http://www.rings.t.soka.ac.jp/. It implements the mathematical model of N-glycosylation previously described by Krambeck et al. (Glycobiology 19:1163-1175, 2009). This tool computes the glycans that can be potentially generated from a select set of glyco-enzymes, based on a mathematical model that characterizes substrate specificity. The resulting glycans are displayed as a pathway map, which can be evaluated in an interactive manner. Detailed results can also be obtained for each glycan that is theoretically generated, along with the corresponding enzymes that were found to be involved with the selected glycan. Thus, glycobiologists can take a particular starting glycan structure as input, select a set of glyco-enzymes, and instantly retrieve the set of potentially synthesized glycans as a pathway map or as a text file. Applications of this tool are numerous, including prediction of glycan profiles for a glyco-gene knockout experiment, comparison with mass spectrometric data, etc.

摘要

本章介绍了聚糖途径预测工具,该工具可作为环(创价大学糖组信息资源)网站(http://www.rings.t.soka.ac.jp/)的一部分获取。它实现了Krambeck等人先前描述的N-糖基化数学模型(《糖生物学》19:1163 - 1175,2009年)。该工具基于表征底物特异性的数学模型,计算从一组选定的糖基酶中可能产生的聚糖。生成的聚糖以途径图的形式显示,可以以交互方式进行评估。对于理论上生成的每个聚糖,还可以获得详细结果,以及发现与所选聚糖相关的相应酶。因此,糖生物学家可以将特定的起始聚糖结构作为输入,选择一组糖基酶,并立即检索作为途径图或文本文件的潜在合成聚糖集。该工具的应用众多,包括预测糖基因敲除实验的聚糖谱、与质谱数据进行比较等。

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