AIMC Topic: Carbohydrate Sequence

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

Scientific reports Jan 15, 2020
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...
Humans Machine Learning Glycosylation Amino Acid Sequence Chromatography, High Pressure Liquid Tandem Mass Spectrometry Carbohydrate Sequence Glycopeptides Fucose Immunoglobulin gamma-Chains
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Absolute quantitation of high abundant Fc-glycopeptides from human serum IgG-1.

Analytica chimica acta Dec 18, 2019
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...
Humans Immunoglobulin G Reproducibility of Results Chromatography, Liquid Limit of Detection Hydrophobic and Hydrophilic Interactions Carbohydrate Sequence Glycopeptides Immunoglobulin Fc Fragments
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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 Mar 16, 2021
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...
Machine Learning Heparitin Sulfate Monosaccharides Carbohydrate Sequence Disaccharides Glycomics Nanopores
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A Machine Learning Based Approach to de novo Sequencing of Glycans from Tandem Mass Spectrometry Spectrum.

IEEE/ACM transactions on computational biology and bioinformatics Jan 1, 2015
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 Algorithms Reproducibility of Results Sensitivity and Specificity Polysaccharides Tandem Mass Spectrometry Pattern Recognition, Automated Carbohydrate Sequence Molecular Sequence Data Sequence Analysis Glycomics
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