| Literature DB >> 18327264 |
Oliver Rinner1, Jan Seebacher, Thomas Walzthoeni, Lukas N Mueller, Martin Beck, Alexander Schmidt, Markus Mueller, Ruedi Aebersold.
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.Entities:
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Year: 2008 PMID: 18327264 PMCID: PMC2719781 DOI: 10.1038/nmeth.1192
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547