Abstract
AbstractA 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.
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