从大型序列数据库中鉴定交联肽段。
Identification of cross-linked peptides from large sequence databases.
作者信息
Rinner Oliver, Seebacher Jan, Walzthoeni Thomas, Mueller Lukas N, Beck Martin, Schmidt Alexander, Mueller Markus, Aebersold Ruedi
机构信息
Institute of Molecular Systems Biology, Eidgenössische Technische Hochschule (ETH) Zurich, Wolfgang-Pauli Strasse 16, 8093 Zurich, Switzerland.
出版信息
Nat Methods. 2008 Apr;5(4):315-8. doi: 10.1038/nmeth.1192. Epub 2008 Mar 9.
Abstract
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.
摘要
我们描述了一种通过结合同位素标记交联剂、色谱富集、靶向蛋白质组学以及一种名为xQuest的新型搜索引擎，从复杂样品和大型蛋白质序列数据库中鉴定交联肽的方法。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。我们证明，通过无限制数据库搜索，xQuest能够从完整的大肠杆菌裂解物中鉴定出交联肽。
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