De novo sequencing of peptides using MALDI/TOF-TOF

peer-reviewed · Journal of the American Society for Mass Spectrometry · 2002

peer-reviewed · Journal of the American Society for Mass Spectrometry · 2002. Alfred L. Yergey et al. The recently developed MALDI TOF-TOF instrument yields relatively complex but interpretable fragmentation…
Date 2002-07-01
Type peer-reviewed
Venue Journal of the American Society for Mass Spectrometry
Publisher American Chemical Society (ACS)
Contribution algorithm
DOI 10.1016/S1044-0305(02)00393-8
Citations (OpenAlex) 201
Venue 2-year citedness 2.58

Abstract

The recently developed MALDI TOF-TOF instrument yields relatively complex but interpretable fragmentation spectra. When coupled with a straightforward sequence extension algorithm, it is possible to develop complete peptide sequences de novo from the spectra. This approach has been applied to a set of peptides derived from typtic digestion of electrophoretically separated sea urchin egg membrane proteins. When directed to proteins that have been described previously, the results were in essential agreement with those obtained by conventional data base searching approaches, with certain important exceptions. The present method detected errors in published sequences and was able to develop sequences from peptides differing in mass by one dalton (Da). These results show both the power of the present approach and the need for using de novo methods more frequently than may be otherwise appreciated.

Authors

  1. Alfred L. Yergey · National Institute of Child Health and Human Development
  2. Jens R. Coorssen · National Institute of Child Health and Human Development, University of Calgary
  3. Peter S. Backlund · National Institute of Child Health and Human Development
  4. Paul S. Blank · National Institute of Child Health and Human Development
  5. Glen A. Humphrey · National Institute of Child Health and Human Development
  6. Joshua Zimmerberg · National Institute of Child Health and Human Development
  7. Jennifer M. Campbell · Applied Biosystems
  8. Marvin L. Vestal · Applied Biosystems

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