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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/45559

Title: A Database Search Algorithm for Identification of Intact Cross-Links in Proteins and Peptides Using Tandem Mass Spectrometry.
Authors: Hua Xu
Pang-Hung Hsu
Liwen Zhang
Ming-Daw Tsai
Michael A. Freitas
Contributors: 國立臺灣海洋大學:生命科學系
Keywords: database search
chemical cross-link
proteomics
tandem mass spectrometry
Date: 2010
Issue Date: 2018-03-26T07:05:51Z
Publisher: Journal of Proteome Research
Abstract: Abstract: A new database search algorithm has been developed for identification of intact cross-links in proteins and peptides from tandem mass spectrometric data. Using this algorithm, intact cross-links can be identified and characterized in proteins and peptides with high confidence. The algorithm was tested using BS3 (bis[sulfosuccinimidyl] suberate) cross-linked Cytochrome C. Five cross-links were identified and verified for spatial plausibility by comparison with its three-dimensional structure at optimized experimental conditions. The distributions of statistical scores for true and false positives and receiver operating characteristic analysis indicate that the algorithm is capable of discriminating true positive cross-linked peptide-spectrum matches from false ones. It has also been demonstrated that the MassMatrix database search engine is capable of searching for intact cross-links in complex Escherichia coli proteome samples cross-linked by BS3. The new algorithm in MassMatrix offers an additional approach for the discovery of cross-links in proteins and peptides from tandem mass spectrometric data.
Relation: 9(7)
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/45559
Appears in Collections:[生命科學系] 期刊論文

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