A dynamic programming approach to de novo peptide sequencing via tandem mass spectrometry

Tandem mass spectrometry fragments a large number of molecules of the same peptide sequence into charged molecules of prefix and suffix peptide subsequences and then measures mass/charge ratios of these ions. The de novo peptide sequencing problem is to reconstruct the peptide sequence from a given tandem mass spectral data of k ions. By implicitly transforming the spectral data into an NC-spectrum graph G = (V, E) where /V/ = 2k + 2, we can solve this problem in O (/V/ /E/) time and O (/V/(2)) space using dynamic programming. For an ideal noise-free spectrum with only b- and y-ions, we improve the algorithm to O (/V/ + /E/) time and O (/V/(2)) space. Our approach can be further used to discover a modified amino acid in O (/V/ /E/) time. The algorithms have been implemented and tested on experimental data.