人群中的面孔：通过数据库搜索识别肽。
A face in the crowd: recognizing peptides through database search.
机构信息
University of Washington, Department of Genome Sciences, Seattle, WA 98195, USA.
出版信息
Mol Cell Proteomics. 2011 Nov;10(11):R111.009522. doi: 10.1074/mcp.R111.009522. Epub 2011 Aug 29.
Abstract
Peptide identification via tandem mass spectrometry sequence database searching is a key method in the array of tools available to the proteomics researcher. The ability to rapidly and sensitively acquire tandem mass spectrometry data and perform peptide and protein identifications has become a commonly used proteomics analysis technique because of advances in both instrumentation and software. Although many different tandem mass spectrometry database search tools are currently available from both academic and commercial sources, these algorithms share similar core elements while maintaining distinctive features. This review revisits the mechanism of sequence database searching and discusses how various parameter settings impact the underlying search.
摘要
通过串联质谱序列数据库搜索进行肽鉴定是蛋白质组学研究人员可用工具中的关键方法。由于仪器和软件的进步，快速、灵敏地获取串联质谱数据并进行肽和蛋白质鉴定的能力已成为常用的蛋白质组学分析技术。尽管目前有许多不同的来自学术和商业来源的串联质谱数据库搜索工具，但这些算法共享相似的核心元素，同时保持独特的特点。本文回顾了序列数据库搜索的机制，并讨论了各种参数设置如何影响基础搜索。
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