GMD@CSB.DB:: the Golm Metabolome Database
GMD@CSB.DB:: the Golm Metabolome Database
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DOI：
10.1093/bioinformatics/bti236
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发表时间：
2005-04-15
期刊：
影响因子：
5.8
通讯作者：
Steinhauser, D
中科院分区：
文献类型：
--
作者：
Kopka, J;Schauer, N;Steinhauser, D
代谢物组学，特别是基于气相色谱-质谱（GC-MS）的生物提取物代谢物分析，正迅速成为功能基因组学和系统生物学的基石之一。代谢物谱分析在发现药物或除草剂的作用模式，以及在生物技术应用中揭示基因表达改变对代谢和生物体性能的影响方面具有深远的应用。因此，这项技术需要提供给许多实验室。为此，需要开放的信息交换，就像转录本和蛋白质数据已经实现的那样。代谢物谱分析的关键步骤之一是从生物样品中明确鉴定高度复杂的代谢物制剂中的代谢物。收集质谱，其中包括经常观察到的已知或未知确切化学结构的代谢物，是汇集目前在世界各地许多实验室进行的鉴定工作的最有效手段。在这里，我们提出了GMD，戈尔姆代谢组数据库，一个开放访问的代谢组数据库，这应该使这些过程。GMD为公众提供定制质谱库、代谢物分析实验以及其他信息和工具，例如关于方法、光谱信息或化合物的信息和工具。其主要目标是为实验研究活动和生物信息学提供一个交流平台，通过多学科合作开发和改进代谢组学。
Metabolomics, in particular gas chromatography-mass spectrometry (GC-MS) based metabolite profiling of biological extracts, is rapidly becoming one of the cornerstones of functional genomics and systems biology. Metabolite profiling has profound applications in discovering the mode of action of drugs or herbicides, and in unravelling the effect of altered gene expression on metabolism and organism performance in biotechnological applications. As such the technology needs to be available to many laboratories. For this, an open exchange of information is required, like that already achieved for transcript and protein data. One of the key-steps in metabolite profiling is the unambiguous identification of metabolites in highly complex metabolite preparations from biological samples. Collections of mass spectra, which comprise frequently observed metabolites of either known or unknown exact chemical structure, represent the most effective means to pool the identification efforts currently performed in many laboratories around the world. Here we present GMD, The Golm Metabolome Database, an open access metabolome database, which should enable these processes. GMD provides public access to custom mass spectral libraries, metabolite profiling experiments as well as additional information and tools, e.g. with regard to methods, spectral information or compounds. The main goal will be the representation of an exchange platform for experimental research activities and bioinformatics to develop and improve metabolomics by multidisciplinary cooperation.