Toolboxes for a standardised and systematic study of glycans.
Toolboxes for a standardised and systematic study of glycans.
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DOI：
10.1186/1471-2105-15-s1-s9
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发表时间：
2014
影响因子：
3
通讯作者：
Lisacek F
中科院分区：
文献类型：
--
作者：
Campbell MP;Ranzinger R;Lütteke T;Mariethoz J;Hayes CA;Zhang J;Akune Y;Aoki-Kinoshita KF;Damerell D;Carta G;York WS;Haslam SM;Narimatsu H;Rudd PM;Karlsson NG;Packer NH;Lisacek F
用于表征复杂碳水化合物的分支结构的方法开发的最新进展现在已经实现了更高通量的技术。结构分析的自动化需要软件开发，因为在合理的时间内为大量数据集合添加意义需要相应的生物信息学方法和工具。目前的糖生物信息学资源确实涵盖了聚糖的结构和功能，它们与蛋白质的相互作用或它们的酶促合成的信息。然而，这些信息是部分的，分散的，并且对于非糖生物学家来说通常很难找到。在我们诊断糖生物信息学发展缓慢的原因之后，我们回顾了在定义用于表示复杂实体的适当格式和开发有效的分析软件时遇到的“客观”困难。已经实施的各种解决方案和定义的策略，以桥梁糖生物学与不同的领域和整合异构糖相关的信息。尽管我们的综合努力的初始阶段，本文强调糖组学的快速扩张，现有资源的有效性和糖生物信息学的光明前景。
Recent progress in method development for characterising the branched structures of complex carbohydrates has now enabled higher throughput technology. Automation of structure analysis then calls for software development since adding meaning to large data collections in reasonable time requires corresponding bioinformatics methods and tools. Current glycobioinformatics resources do cover information on the structure and function of glycans, their interaction with proteins or their enzymatic synthesis. However, this information is partial, scattered and often difficult to find to for non-glycobiologists. Following our diagnosis of the causes of the slow development of glycobioinformatics, we review the "objective" difficulties encountered in defining adequate formats for representing complex entities and developing efficient analysis software. Various solutions already implemented and strategies defined to bridge glycobiology with different fields and integrate the heterogeneous glyco-related information are presented. Despite the initial stage of our integrative efforts, this paper highlights the rapid expansion of glycomics, the validity of existing resources and the bright future of glycobioinformatics.