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Probability profiles-novel approach in tandem mass spectrometry De Novo sequencing

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5 Author(s)
T. Fridman ; Comput. Sci. & Math. Div., Oak Ridge Nat. Lab., TN, USA ; R. Day ; J. Razumovskaya ; D. Xu
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A novel method is proposed for deciphering experimental tandem mass spectra. A large database of previously resolved peptide spectra was used to determine "neighborhood patterns" for each peak category: C- or N-terminus ions, their dehydrated fragments, etc. The established patterns are applied to assign probabilities for new spectra peaks to fit into these categories. A few peaks often could be identified with a fair confidence creating strong "anchor points" for De Novo algorithm assembling sequence subgraphs. Our approach is utilizing all informational content of a given MS experimental data set, including peak intensities, weak and noisy peaks, and unusual fragments. We also discuss ways to provide learning features in our method: adjustments for a specific MS device and user initiated changes in the list of considered peak identities.

Published in:

Bioinformatics Conference, 2003. CSB 2003. Proceedings of the 2003 IEEE

Date of Conference:

11-14 Aug. 2003