Sequence pattern Correlation of Amino Acid in Collision—induced Dissociation Electrospray Ionization Mass Spectrometry

A novel approach of seuqence pattern correlation has been applied to predict an expected amino acid sequence from CID ESI-MS spectra.The proposed approach deduces sequence patterns with no help form known protein database such that it is useful to identify an unknown petide or new protein.The algorithm applies a cross-correlation to match an experimental CID spectrum with predicted sequence pattern generated form fragmentation information.The fragmentation knowledge of both y-series and other non y-series are utilized to generate the predicted sequence patterns.In contrast to the normal de novo approach,the proposed approach is insensitive to mass tolerance and non-sussceptive to spectral integrality with no need for selection of a starting point.

Sequence Pattern Correlation of Amino Acid in Collision-induced Dissociation Electrospray Ionization Mass Spectrometry

A novel approach of sequence pattern correlation has been applied to predict an expected amino acid sequence from CID ESI MS spectra. The proposed approach deduces sequence patterns with no help from known protein database such that it is useful to identify an unknown peptide or new protein. The algorithm applies a cross correlation to match an experimental CID spectrum with predicted sequence pattern generated from fragmentation information. The fragmentation knowledge of both y series and other non y series are utilized to generate the predicted sequence patterns. In contrast to the normal de novo approach, the proposed approach is insensitive to mass tolerance and non susceptive to spectral integrality with no need for selection of a starting point.