Characterization of the Fragmentation Pattern of Peptide from Tandem Mass Spectra

被引:5
|
作者
Ramachandran, Sangeetha [1 ]
Thomas, Tessamma [1 ]
机构
[1] Cochin Univ Sci & Technol, Dept Elect, Cochin 682022, Kerala, India
关键词
Proteomics; MS/MS; CID; fragmentation pattern; residue dependence; COLLISION-INDUCED DISSOCIATION; STATISTICAL CHARACTERIZATION; SPECTROMETRY; IDENTIFICATION; MOBILE; IONS;
D O I
10.5478/MSL.2019.10.2.50
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
The fragmentation statistics of ion trap CID (Collision-Induced Dissociation) spectra using 87,661 tandem mass spectra of doubly charged tryptic peptides are analyzed here. In contrast to the usual method of using intensity information, the frequency of occurrence of fragment ions, with respect to the position of the cleavage site and the residues at these sites is studied in this paper. The analysis shows that the frequency of occurrence of fragment ion peaks is more towards the middle of the peptide than its ends. It was noted that amino acid with an aromatic and basic side chain at N- & C- terminal end of the peptide stimulates more peaks at the lower end of the spectrum. The residue pair effect was shown when the amide bond occurs between acidic and basic residues. The fragmentation at these sites (D/E-H/R/K) stimulates the generation of the y-ion peak. Also, the cleavage site H-H/R/K stimulates the generation of b-ions. K-P environment in the peptide sequence has more tendency to generate y-ions than b-ions. Statistical analysis helps in the visualization of the CID fragmentation pattern. Cleavage pattern along the length of the peptide and the residue pair effects, enhance the knowledge of fragmentation behavior, which is useful for the better interpretation of tandem mass spectra.
引用
收藏
页码:50 / 55
页数:6
相关论文
共 50 条
  • [41] Novel peptide identification from tandem mass spectra using ESTs and sequence database compression
    Edwards, Nathan J.
    MOLECULAR SYSTEMS BIOLOGY, 2007, 3 (1)
  • [42] How Well Can We Predict Mass Spectra from Structures? Benchmarking Competitive Fragmentation Modeling for Metabolite Identification on Untrained Tandem Mass Spectra
    Bremer, Parker Ladd
    Vaniya, Arpana
    Kind, Tobias
    Wang, Shunyang
    Fiehn, Oliver
    Journal of Chemical Information and Modeling, 2022, 62 (17) : 4049 - 4056
  • [43] How Well Can We Predict Mass Spectra from Structures? Benchmarking Competitive Fragmentation Modeling for Metabolite Identification on Untrained Tandem Mass Spectra
    Fiehn, Oliver
    Bremer, Parker Ladd
    Vaniya, Arpana
    Kind, Tobias
    Wang, Shunyang
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2022, : 4049 - 4056
  • [44] mMass as a Software Tool for the Annotation of Cyclic Peptide Tandem Mass Spectra
    Niedermeyer, Timo H. J.
    Strohalm, Martin
    PLOS ONE, 2012, 7 (09):
  • [45] Validation of endogenous peptide identifications using a database of tandem mass spectra
    Faelth, Maria
    Svensson, Marcus
    Nilsson, Anna
    Skoeld, Karl
    Fenyoe, David
    Andren, Per E.
    JOURNAL OF PROTEOME RESEARCH, 2008, 7 (07) : 3049 - 3053
  • [46] mMass as a software tool for the annotation of cyclic peptide tandem mass spectra
    Niedermeyer, T. H. J.
    Strohalm, M.
    PLANTA MEDICA, 2012, 78 (11) : 1279 - 1279
  • [47] SPEQ: quality assessment of peptide tandem mass spectra with deep learning
    Gholamizoj, Soroosh
    Ma, Bin
    BIOINFORMATICS, 2022, 38 (06) : 1568 - 1574
  • [48] A Framework of De Novo Peptide Sequencing for Multiple Tandem Mass Spectra
    Yan, Yan
    Kusalik, Anthony J.
    Wu, Fang-Xiang
    IEEE TRANSACTIONS ON NANOBIOSCIENCE, 2015, 14 (04) : 478 - 484
  • [49] Denoising Peptide Tandem Mass Spectra for Spectral Libraries: A Bayesian Approach
    Shao, Wenguang
    Lam, Henry
    JOURNAL OF PROTEOME RESEARCH, 2013, 12 (07) : 3223 - 3232
  • [50] Preprocessing Tandem Mass Spectra Using Genetic Programming for Peptide Identification
    Azari, Samaneh
    Xue, Bing
    Zhang, Mengjie
    Peng, Lifeng
    JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY, 2019, 30 (07) : 1294 - 1307