Deutsch Eric W
Institute for Systems Biology, Seattle, WA, USA.
Methods Mol Biol. 2011;696:225-32. doi: 10.1007/978-1-60761-987-1_13.
Spectral library searching in the field of proteomics has been gaining visibility and use in the last few years, primarily due to the expansion of public proteomics data repositories and the large spectral libraries that can be generated from them. Spectral library searching has several advantages over conventional sequence searching: it is generally much faster, and has higher specificity and sensitivity. The speed increase is primarily, due to having a smaller, fully indexable search space of real spectra that are known to be observable. The increase in specificity and sensitivity is primarily due to the ability of a search engine to utilize the known intensities of the fragment ions, rather than just comparing with theoretical spectra as is done with sequence searching. The main disadvantage of spectral library searching is that one can only identify peptide ions that have been seen before and are stored in the spectral library. In this chapter, an overview of spectral library searching and the libraries currently available are presented.
在过去几年中，蛋白质组学领域的谱图库搜索越来越受到关注并得到应用，这主要归功于公共蛋白质组学数据存储库的扩展以及由此生成的大型谱图库。与传统的序列搜索相比，谱图库搜索具有多个优势：它通常速度更快，特异性和灵敏度更高。速度提升主要是因为存在一个较小的、可完全索引的真实光谱搜索空间，这些光谱是已知可观测的。特异性和灵敏度的提高主要是由于搜索引擎能够利用碎片离子的已知强度，而不是像序列搜索那样仅与理论光谱进行比较。谱图库搜索的主要缺点是只能识别之前见过并存储在谱图库中的肽离子。在本章中，将对谱图库搜索以及当前可用的库进行概述。
