U.S. Department of Energy

Pacific Northwest National Laboratory

Spectral probabilities of top-down tandem mass spectra.

TitleSpectral probabilities of top-down tandem mass spectra.
Publication TypeJournal Article
Year of Publication2014
AuthorsLiu X, Segar MW, Li SCheng, Kim S
JournalBMC Genomics

BACKGROUND: In mass spectrometry-based proteomics, the statistical significance of a peptide-spectrum or protein-spectrum match is an important indicator of the correctness of the peptide or protein identification. In bottom-up mass spectrometry, probabilistic models, such as the generating function method, have been successfully applied to compute the statistical significance of peptide-spectrum matches for short peptides containing no post-translational modifications. As top-down mass spectrometry, which often identifies intact proteins with post-translational modifications, becomes available in many laboratories, the estimation of statistical significance of top-down protein identification results has come into great demand.

RESULTS: In this paper, we study an extended generating function method for accurately computing the statistical significance of protein-spectrum matches with post-translational modifications. Experiments show that the extended generating function method achieves high accuracy in computing spectral probabilities and false discovery rates.

CONCLUSIONS: The extended generating function method is a non-trivial extension of the generating function method for bottom-up mass spectrometry. It can be used to choose the correct protein-spectrum match from several candidate protein-spectrum matches for a spectrum, as well as separate correct protein-spectrum matches from incorrect ones identified from a large number of tandem mass spectra.

Alternate JournalBMC Genomics
PubMed ID24564718
PubMed Central IDPMC4046700
Area of Research: 
| Pacific Northwest National Laboratory