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用于质谱分析的蛋白质组信息学的最新进展。

Recent developments in proteome informatics for mass spectrometry analysis.

作者信息

Wright James C, Hubbard Simon J

机构信息

Faculty of Life Sciences, University of Manchester, Manchester M139PT, UK.

出版信息

Comb Chem High Throughput Screen. 2009 Feb;12(2):194-202. doi: 10.2174/138620709787315508.

Abstract

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.

摘要

质谱分析法已成为后基因组科学中研究蛋白质和蛋白质组的卓越分析方法。此类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挑战。在过去十年中,针对基于质谱的蛋白质组学数据的处理、分析、存储和整合,出现了大量的信息学工具。在这篇综述中,将讨论蛋白质组信息学的一些最新进展。这包括用于预测蛋白质和肽特性的新工具,这些特性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,向定量蛋白质组学发展也需要信息学方法,本文也将简要讨论。最后,强调了蛋白质组学数据存储库数量的不断增加以及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实验的下一阶段指明了方向,也为蛋白质组学领域将面临的信息学挑战指明了方向。

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