| Literature DB >> 21175198 |
Xiuxia Du1, Saiful M Chowdhury, Nathan P Manes, Si Wu, M Uljana Mayer, Joshua N Adkins, Gordon A Anderson, Richard D Smith.
Abstract
Chemical cross-linking combined with mass spectrometry provides a powerful method for identifying protein-protein interactions and probing the structure of protein complexes. A number of strategies have been reported that take advantage of the high sensitivity and high resolution of modern mass spectrometers. Approaches typically include synthesis of novel cross-linking compounds, and/or isotopic labeling of the cross-linking reagent and/or protein, and label-free methods. We report Xlink-Identifier, a comprehensive data analysis platform that has been developed to support label-free analyses. It can identify interpeptide, intrapeptide, and deadend cross-links as well as underivatized peptides. The software streamlines data preprocessing, peptide scoring, and visualization and provides an overall data analysis strategy for studying protein-protein interactions and protein structure using mass spectrometry. The software has been evaluated using a custom synthesized cross-linking reagent that features an enrichment tag. Xlink-Identifier offers the potential to perform large-scale identifications of protein-protein interactions using tandem mass spectrometry.Entities:
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Year: 2011 PMID: 21175198 PMCID: PMC3048902 DOI: 10.1021/pr100848a
Source DB: PubMed Journal: J Proteome Res ISSN: 1535-3893 Impact factor: 4.466