Recent Developments in Proteome Informatics for Mass Spectrometry Analysis
Recent Developments in Proteome Informatics for Mass Spectrometry Analysis
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DOI：
10.2174/138620709787315508
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发表时间：
2009-02-01
影响因子：
1.8
通讯作者：
Hubbard, Simon J.
中科院分区：
文献类型：
--
作者：
Wright, James C.;Hubbard, Simon J.
质谱法已成为后基因组科学中蛋白质和蛋白质组研究的卓越分析方法。这些实验产生的大量复杂光谱和数据给生物信息学领域带来了新的挑战。在过去的十年中，针对基于质谱的蛋白质组数据的处理、分析、存储和集成的信息学工具出现了爆炸式增长。在这篇综述中，将讨论蛋白质组信息学的一些最新进展。这包括预测蛋白质和肽特性的新工具（可用于实验蛋白质组学设计），以及从质谱中鉴定肽和蛋白质的工具。同样，走向定量蛋白质组学需要信息学方法，对此也进行了简要讨论。最后，强调了不断增长的蛋白质组数据存储库和为该领域开发的新兴数据标准。这些工具和技术为蛋白质组学界将面临的实验蛋白质组学和信息学挑战的下一阶段指明了道路。
Mass spectrometry has become the pre-eminent analytical method for the study of proteins and proteomes in post-genome science. The high volumes of complex spectra and data generated from such experiments represent new challenges for the field of bioinformatics. The past decade has seen an explosion of informatics tools targeted towards the processing, analysis, storage, and integration of mass spectrometry based proteomic data. In this review, some of the more recent developments in proteome informatics will be discussed. This includes new tools for predicting the properties of proteins and peptides which can be exploited in experimental proteomic design, and tools for the identification of peptides and proteins from their mass spectra. Similarly, informatics approaches are required for the move towards quantitative proteomics which are also briefly discussed. Finally, the growing number of proteomic data repositories and emerging data standards developed for the field are highlighted. These tools and technologies point the way towards the next phase of experimental proteomics and informatics challenges that the proteomics community will face.