Status | 已發表Published |
Development of a Novel Method for Significant Improvement in Peptide De Novo Sequencing | |
Ang, I. L.; Poon, C. W. | |
2017-06-21 | |
Source Publication | 4th Macau Symposium on Biomedical Sciences 2017 |
Abstract | Background: In the field of proteomics, peptide de novo sequencing is the process of deriving amino acid sequences of peptides directly from tandem mass spectrometry data without the assistance of a protein sequence database. This strategy, however, is practically difficult and prone to have high error rate due to the presence of a complex mixture of fragment ions of various types (b-ions and y-ions) and uninterpretable ‘noise’ peaks in most tandem mass spectra. Method & Results: In this study, we developed a method to chemically modify tryptic peptides. The modified peptides were shown to provide clear and consecutive y-ions series in the tandem mass spectra. Moreover, a good discrimination of y-ions from b-ions was obtained. For the unmodified peptides, the accuracy of the de novo sequencing results was <60%. After modification, the accuracy was increased to >90%. Conclusion: A new peptide modification method for achieving high accuracy in peptide de novo sequencing was developed. To the best of our knowledge, y-ions and b-ions had not been successfully differentiated before this study. This method has great potentials in protein sequencing analysis when the relevant protein sequence database is not available. |
Keyword | Proteomics de novo sequencing mass spectrometry |
Language | 英語English |
The Source to Article | PB_Publication |
PUB ID | 33379 |
Document Type | Conference paper |
Collection | DEPARTMENT OF BIOMEDICAL SCIENCES |
Corresponding Author | Poon, C. W. |
Recommended Citation GB/T 7714 | Ang, I. L.,Poon, C. W.. Development of a Novel Method for Significant Improvement in Peptide De Novo Sequencing[C], 2017. |
APA | Ang, I. L.., & Poon, C. W. (2017). Development of a Novel Method for Significant Improvement in Peptide De Novo Sequencing. 4th Macau Symposium on Biomedical Sciences 2017. |
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