Spectral Networks
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Contact: Nuno Bandeira [bandeira (at) cs.ucsd.edu]
Summary
Advances in tandem mass spectrometry (MS/MS) steadily increase the rate of generation of MS/MS spectra. As a result, the existing approaches that compare spectra against databases are already facing a bottleneck, particularly when interpreting spectra of modified peptides. Here we explore a concept that allows one to perform an MS/MS database search without ever comparing a spectrum against a database. We propose to take advantage of spectral pairs, which are pairs of spectra obtained from overlapping (often nontryptic) peptides or from unmodified and modified versions of the same peptide. Having a spectrum of a modified peptide paired with a spectrum of an unmodified peptide allows one to separate the prefix and suffix ladders, to greatly reduce the number of noise peaks, and to generate a small number of peptide reconstructions that are likely to contain the correct one. The MS/MS database search is thus reduced to extremely fast pattern-matching (rather than time-consuming matching of spectra against databases). In addition to speed, our approach provides a unique paradigm for identifying posttranslational modifications by means of spectral networks analysis.
The image below illustrates a spectral network identified on a sample of cataractous lens:
Documentation
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Coming soon: Multi-stage (MSn) and Accurate-precursor Peptide Sequencing (see ISMB'08 reference below)
Publications
Multi-Spectra Peptide Sequencing and its Applications to Multistage Mass Spectrometry
Nuno Bandeira, Jesper V Olsen, Matthias Mann, Pavel Pevzner
ISMB 2008, Bioinformatics (in press)
Spectral networks: a new approach to de novo discovery of protein sequences and posttranslational modifications
Nuno Bandeira
Biotechniques. 2007 Jun;42(6):687
Protein identification by spectral networks analysis
Nuno Bandeira, Dekel Tsur, Ari Frank, Pavel Pevzner
Proceedings of the National Academy of Sciences (PNAS), 2007 Apr 10;104(15):6140-5
A new approach to protein identification
Nuno Bandeira, Dekel Tsur, Ari Frank, Pavel Pevzner
RECOMB 2006, 10th Annual International Conference on Research in Computational Molecular Biology.