Identification of cross-linked peptides from large sequence databases
Identification of cross-linked peptides from large sequence databases
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DOI：
10.1038/nmeth.1192
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发表时间：
2008-04-01
期刊：
影响因子：
48
通讯作者：
Aebersold, Ruedi
中科院分区：
文献类型：
--
作者：
Rinner, Oliver;Seebacher, Jan;Aebersold, Ruedi
我们描述了一种方法，以确定从复杂的样品和大型蛋白质序列数据库中的交联肽结合同位素标记的交联剂，色谱富集，有针对性的蛋白质组学和一个新的搜索引擎称为xQuest。该软件在重组步骤之前通过上游候选肽搜索来减少搜索空间。我们表明，xQuest可以识别交联肽从总大肠杆菌裂解物与不受限制的数据库搜索。
We describe a method to identify cross-linked peptides from complex samples and large protein sequence databases by combining isotopically tagged cross-linkers, chromatographic enrichment, targeted proteomics and a new search engine called xQuest. This software reduces the search space by an upstream candidate-peptide search before the recombination step. We showed that xQuest can identify cross-linked peptides from a total Escherichia coli lysate with an unrestricted database search.