Bioinformatics for glycomics : Status , methods , requirements and perspectives
Bioinformatics for glycomics : Status , methods , requirements and perspectives
复制标题
糖组学生物信息学：现状、方法、要求和前景
DOI：
10.11234/gi1990.16.214
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
Martin Frank
中科院分区：
文献类型：
--
作者：
C. Lieth;Andreas Bohne;K. K. Lohmann;Martin Frank
术语“糖组学”描述了鉴定和研究所有由生物体合成的聚糖分子（糖组）的科学尝试。目的是建立一个细胞的糖基转移酶表达和检测聚糖结构的目录。目前的数据库和生物信息学工具，这仍处于起步阶段，进行了审查。作为次级基因产物的聚糖的结构不能容易地从DNA序列预测。聚糖序列不能用简单的线性单字母代码来描述，因为每对单糖可以以几种方式连接，并且可以形成分支结构。很少有为基因组学/蛋白质组学开发的生物信息学算法可以直接适用于糖组学。算法的发展，它允许一个快速，自动的质谱解释，以确定聚糖结构是目前最活跃的研究领域。缺乏普遍接受的方法来标准化聚糖结构和交换聚糖格式阻碍了有效的交联和分布式数据的自动交换。即将到来的糖组学应该接受科学数据的无限制传播加速了科学发现，并启动了一些新的举措来探索数据。
The term ‘glycomics’ describes the scientific attempt to identify and study all the glycan molecules – the glycome – synthesised by an organism. The aim is to create a cell-by-cell catalogue of glycosyltransferase expression and detected glycan structures. The current status of databases and bioinformatics tools, which are still in their infancy, is reviewed. The structures of glycans as secondary gene products cannot be easily predicted from the DNA sequence. Glycan sequences cannot be described by a simple linear one-letter code as each pair of monosaccharides can be linked in several ways and branched structures can be formed. Few of the bioinformatics algorithms developed for genomics/proteomics can be directly adapted for glycomics. The development of algorithms, which allow a rapid, automatic interpretation of mass spectra to identify glycan structures is currently the most active field of research. The lack of generally accepted ways to normalise glycan structures and exchange glycan formats hampers an efficient cross-linking and the automatic exchange of distributed data. The upcoming glycomics should accept that unrestricted dissemination of scientific data accelerates scientific findings and initiates a number of new initiatives to explore the data.
影响因子：
7.4
作者：
Gaucher, SP;Morrow, J;Leary, JA
通讯作者：
Leary, JA