Novel Strategy for Glyco-peptide Database and High-throughput Searching

Chem. J. Chinese Universities ›› 2010, Vol. 31 ›› Issue (10): 1916.

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Novel Strategy for Glyco-peptide Database and High-throughput Searching

LIU Ming-Qi1,2, ZHANG Yang2, CHEN Yao-Han1,2, YANG Peng-Yuan1,2*

1. Department of Chemistry, Fudan University, Shanghai 200433, China;
2. Institute of Biomedical Science, Fudan University, Shanghai 200032, China

Received:2010-05-26 Online:2010-10-10 Published:2010-10-10
Contact: YANG Peng-Yuan
Supported by:
国家自然科学基金(批准号: 209750240)资助.

Abstract

Abstract: Glycoslyation is one of the most important post-translational modifications. Although many glycosylation sites are detected through mass spectrometry, there is still lack of high-throughput bioinformatical tools for identification of intact glycopeptides. A novel software that is able to fully utilize the information derived from experiments of mass spectrometry was developed. The results reveal thousands non-redundant intact glycopeptides in a single 2D-LC run.

Key words: Proteomics, Post-translational modification, Glycoslyation, Tandem mass spectrometry, Database search software

TrendMD:

LIU Ming-Qi, ZHANG Yang, CHEN Yao-Han, YANG Peng-Yuan*. Novel Strategy for Glyco-peptide Database and High-throughput Searching[J]. Chem. J. Chinese Universities, 2010, 31(10): 1916.

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Novel Strategy for Glyco-peptide Database and High-throughput Searching

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