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Carbohydrate Sequence

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Absolute quantitation of high abundant Fc-glycopeptides from human serum IgG-1.

Analytica chimica acta
Absolute quantitation of IgG-1 Fc-glycosylation, which is crucial for the clinical practice of glyco-biomarkers and quality control of biopharmaceuticals, has been hindered by the lack of glycopeptide standards. In this study, eleven high abundant Ig...

A Machine Learning Based Approach to de novo Sequencing of Glycans from Tandem Mass Spectrometry Spectrum.

IEEE/ACM transactions on computational biology and bioinformatics
Recently, glycomics has been actively studied and various technologies for glycomics have been rapidly developed. Currently, tandem mass spectrometry (MS/MS) is one of the key experimental tools for identification of structures of oligosaccharides. M...

Machine Learning Classifies Core and Outer Fucosylation of N-Glycoproteins Using Mass Spectrometry.

Scientific reports
Protein glycosylation is known to be involved in biological progresses such as cell recognition, growth, differentiation, and apoptosis. Fucosylation of glycoproteins plays an important role for structural stability and function of N-linked glycoprot...

Synthetic heparan sulfate standards and machine learning facilitate the development of solid-state nanopore analysis.

Proceedings of the National Academy of Sciences of the United States of America
The application of solid-state (SS) nanopore devices to single-molecule nucleic acid sequencing has been challenging. Thus, the early successes in applying SS nanopore devices to the more difficult class of biopolymer, glycosaminoglycans (GAGs), have...