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November 1, 1994Journal of the American Society for Mass Spectrometry6,669 citations

An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database

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JEJimmy K. EngAMAshley L. McCormackJYJohn R. Yates

Key Points

  • Develop an automated algorithm to correlate uninterpreted tandem mass spectra of peptides directly with amino acid sequences stored in a protein database.
  • Searched protein sequence databases for linear peptide sequences within a mass tolerance of ±1 u of precursor ions generated under low-energy (10–50 eV) collision conditions.
  • Computed a cross-correlation function between mass-to-charge ratios of predicted fragment ions and observed tandem mass spectral peaks.
  • Evaluated the matching algorithm on tandem mass spectra generated from enzymatically digested total proteins of E. coli and S. cerevisiae cells.
  • A difference greater than 0.1 between normalized cross-correlation values of the first- and second-ranked candidate sequences indicates a successful sequence-to-spectrum match.
  • Successfully identified peptides from complex enzymatic digests of E. coli and S. cerevisiae total protein mixtures by querying species-specific sequence databases.

Abstract

A method to correlate the uninterpreted tandem mass spectra of peptides produced under low energy (10-50 eV) collision conditions with amino acid sequences in the Genpept database has been developed. In this method the protein database is searched to identify linear amino acid sequences within a mass tolerance of ±1 u of the precursor ion molecular weight A cross-correlation function is then used to provide a measurement of similarity between the mass-to-charge ratios for the fragment ions predicted from amino acid sequences obtained from the database and the fragment ions observed in the tandem mass spectrum. In general, a difference greater than 0.1 between the normalized cross-correlation functions of the first- and second-ranked search results indicates a successful match between sequence and spectrum. Searches of species-specific protein databases with tandem mass spectra acquired from peptides obtained from the enzymatically digested total proteins of E. coli and S. cerevisiae cells allowed matching of the spectra to amino acid sequences within proteins of these organisms. The approach described in this manuscript provides a convenient method to interpret tandem mass spectra with known sequences in a protein database.

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Cite This Study

Eng et al. (1994) studied this question.

synapsesocial.com/papers/69d8c3e9183921ebcaae3a06https://doi.org/10.1016/1044-0305(94)80016-2
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