AIMC Topic: Polysaccharides
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Automated, high-throughput serum glycoprofiling platform.
Integrative biology : quantitative biosciences from nano to macro
Jul 20, 2015
Complex carbohydrates are rapidly becoming excellent biomarker candidates because of their high sensitivity to pathological changes. However, the discovery of clinical glycobiomarkers has been slow, due to the scarcity of high-throughput glycoanalyti...
Pyrolysis mechanism study on xylose by combining experiments, chemical reaction neural networks and density functional theory.
Bioresource technology
Aug 1, 2025
Chemical reaction neural networks (CRNN) and density functional theory (DFT) are gaining attention in biomass pyrolysis mechanism research. Reaction pathways are often speculated based on a single method, influenced by expert knowledge. To address th...
Classifying Type 2 Diabetes Using N-Glycan Profiling and Machine Learning Algorithms.
Studies in health technology and informatics
Apr 24, 2025
BACKGROUND: Type 2 diabetes (T2D) continues to present a global public health challenge due to its increasing prevalence. Early diagnosis is critical for preventing complications, but current screening methods often fail to detect early diabetic cond...
Deep learning method for the prediction of glycan structures from mass spectrometry data.
Nature methods
Jul 1, 2024
Rapid Determination of Polysaccharides in Cistanche Tubulosa Using Near-Infrared Spectroscopy Combined with Machine Learning.
Journal of AOAC International
Jul 17, 2023
BACKGROUND: Cistanche tubulosa, as a homology of medicine and food, not only has a unique medicinal value but also is widely used in healthcare products. Polysaccharide is one of its important quality indicators.
Evaluation of Polysaccharide Content in Shiitake Culinary-Medicinal Mushroom, Lentinula edodes (Agaricomycetes), via Near-Infrared Spectroscopy Integrated with Deep Learning.
International journal of medicinal mushrooms
Jan 1, 2023
Polysaccharide is one of the bioactive ingredients extracted from the fruiting body of Lentinula edodes (=L. edodes), which has many medicinal functions. While the content of polysaccharide can be measured by near-infrared (NIR) spectroscopy, the NIR...
GlycoEnzOnto: a GlycoEnzyme pathway and molecular function ontology.
Bioinformatics (Oxford, England)
Dec 13, 2022
MOTIVATION: The 'glycoEnzymes' include a set of proteins having related enzymatic, metabolic, transport, structural and cofactor functions. Currently, there is no established ontology to describe glycoEnzyme properties and to relate them to glycan bi...
Glycowork: A Python package for glycan data science and machine learning.
Glycobiology
Nov 18, 2021
While glycans are crucial for biological processes, existing analysis modalities make it difficult for researchers with limited computational background to include these diverse carbohydrates into workflows. Here, we present glycowork, an open-source...
Using graph convolutional neural networks to learn a representation for glycans.
Cell reports
Jun 15, 2021
As the only nonlinear and the most diverse biological sequence, glycans offer substantial challenges for computational biology. These carbohydrates participate in nearly all biological processes-from protein folding to viral cell entry-yet are still ...
[High-efficiency separation and analysis of monosaccharides in Pueraria polysaccharides by pressurized capillary electrochromatography].
Se pu = Chinese journal of chromatography
Nov 8, 2020
Pueraria polysaccharides have been proven to possess biological activities such as bacteriostasis, anti-oxidative, anti-tumor, and immunity boosting activities. The variation in the structure, composition, and amount of monosaccharides in these polys...
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