Abstract:
The present invention relates to a bioinformation processing analysis method for the identification and quantification of O-linked glycopeptide using high resolution mass spectrum. Particularly, according to the bioinformation processing analysis method of the present invention, the quantitative changes of O-linked glycopeptide containing non-informed sugar chains included in various samples can be efficiently and accurately analyzed; the prediction or diagnosis of disease including cancer can be made easy by using a high resolution mass spectrometer; or the investigation of O-linked glycopeptide structure of a therapeutic glycoprotein can be efficiently achieved.
Abstract:
The present invention relates to a more efficient and accurate method for the identification and quantification of comparatively low abundant glycopeptides, compared with general peptides, using mass spectrum obtained by using high resolution mass spectrometer. Therefore, the method of the present invention can be effectively used for the techniques for identification of biotherapeutics and diagnosis of cancer or disease by screening glycopeptide, the disease marker (Biomarker), from various samples.
Abstract:
The present invention relates to a more efficient and accurate method for the identification and quantification of comparatively low abundant glycopeptides, compared with general peptides, using mass spectrum obtained by using high resolution mass spectrometer. Therefore, the method of the present invention can be effectively used for the techniques for identification of biotherapeutics and diagnosis of cancer or disease by screening glycopeptide, the disease marker (Biomarker), from various samples.