Name
Title | ||
|---|---|---|
Rapid identification of multi-PTMs peptide sequence tags with a graph search approach |
Abstract | ||
|---|---|---|
Identifying post-translational modifications (PTMs) is a big challenge for proteomics. Mass spectrometry is a popular tool for the identification of peptide sequence. Here we present a method for rapid identification of PTMs by mass spectrometry based on graph theory. The approach takes advantage of several possibility pair's values of corresponding Tandem Mass Spectrometry (MS/MS), and uses score function to screen candidate peptide sequences. We proposed the Pair Peak of Set (PPS) and used the most possibility mass of PPS as the root of graph tree, the rest ones are viewed as the reference node of graph. Our experiment on 2620 experimental MS/MS with two PTMs shows that our approach achieves better accuracy than PepNovo approaches with higher efficiency and it could deal with low quality PTMs data. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/BIBMW.2011.6112382 | BIBM Workshops |
Keywords | Field | DocType |
possibility mass,rapid identification,pepnovo approach,low quality ptms data,multi-ptms peptide sequence tag,graph search approach,graph theory,mass spectrometry,experimental ms,corresponding tandem mass spectrometry,candidate peptide sequence,peptide sequence,graph tree,post translational modification,spectrum,biochemistry,tandem mass spectrometry,proteomics,score function,mass spectroscopy | Graph theory,Graph,Proteomics,Computer science,Tandem mass spectrometry,Peptide,Mass spectrometry,Bioinformatics,Score,Peptide sequence | Conference |
ISSN | Citations | PageRank |
2163-6966 | 0 | 0.34 |
References | Authors | |
2 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hui Li | 1 | 3 | 5.46 |
| Chun-Mei Liu | 2 | 245 | 41.30 |
| Mugizi Rwebangira | 3 | 5 | 1.51 |
| Legand Burge | 4 | 29 | 9.60 |
| William Southerland | 5 | 15 | 6.23 |