GlycoNMR: Dataset and benchmarks for NMR chemical shift prediction of carbohydrates with graph neural networks [PDF]
arXiv, 2023 Molecular representation learning (MRL) is a powerful tool for bridging the gap between machine learning and chemical sciences, as it converts molecules into numerical representations while preserving their chemical features. These encoded representations serve as a foundation for various downstream biochemical studies, including property prediction ...
arxiv
Protein-carbohydrate interactions during fertilization [PDF]
, 1998 Interaction between gametes during fertilization is at least in part regulated by carbohydrate moieties of the zona pellucida (ZP) and carbohydrate binding proteins of the sperm surface. This review focuses on the protein-carbohydrate interactions during
Kolle, S., Plendl, J., Sinowatz, Fred
core +1 more source
Electronic Single Molecule Identification of Carbohydrate Isomers by Recognition Tunneling [PDF]
, 2016 Glycans play a central role as mediators in most biological processes, but their structures are complicated by isomerism. Epimers and anomers, regioisomers, and branched sequences contribute to a structural variability that dwarfs those of nucleic acids and proteins, challenging even the most sophisticated analytical tools, such as NMR and mass ...
arxiv +1 more source
LSTMs and Deep Residual Networks for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management [PDF]
, 2021 To avoid serious diabetic complications, people with type 1 diabetes must keep their blood glucose levels (BGLs) as close to normal as possible. Insulin dosages and carbohydrate consumption are important considerations in managing BGLs. Since the 1960s, models have been developed to forecast blood glucose levels based on the history of BGLs, insulin ...
arxiv +1 more source
Analysis of the Effects of Dietary Pattern on the Oral Microbiome of Elite Endurance Athletes [PDF]
, 2019 Although the oral microbiota is known to play a crucial role in human health, there are few studies of diet x oral microbiota interactions, and none in elite athletes who may manipulate their intakes of macronutrients to achieve different metabolic ...
Burke, Louise M +8 more
core +3 more sources
The C-Terminal Domain of the Arabinosyltransferase Mycobacterium tuberculosis EmbC Is a Lectin-Like Carbohydrate Binding Module [PDF]
, 2011 The D-arabinan-containing polymers arabinogalactan (AG) and lipoarabinomannan (LAM) are essential components of the unique cell envelope of the pathogen Mycobacterium tuberculosis.
A Jain +54 more
core +4 more sources
Promiscuity of the Euonymus Carbohydrate-Binding Domain
Biomolecules, 2012 Plants synthesize small amounts of carbohydrate-binding proteins on exposure to stress. For example, on exposure to drought, high salt, wounding and by treatment with some plant hormones or by pathogen attack. In contrast to the ‘classical’ plant lectins
Els J.M. Van Damme, Elke Fouquaert
doaj +1 more source
A Matrix Ensemble Kalman Filter-based Multi-arm Neural Network to Adequately Approximate Deep Neural Networks [PDF]
arXiv, 2023 Deep Learners (DLs) are the state-of-art predictive mechanism with applications in many fields requiring complex high dimensional data processing. Although conventional DLs get trained via gradient descent with back-propagation, Kalman Filter (KF)-based techniques that do not need gradient computation have been developed to approximate DLs.
arxiv
Complete genome sequence data of chitin-degrading Bacillus velezensis RB.IBE29
Data in Brief, 2023 This work reports the complete genome sequence of chitinolytic Bacillus velezensis RB.IBE29 recently isolated from the rhizosphere of black pepper cultivated in the Central Highlands region of Vietnam.
Dinh Minh Tran +2 more
doaj
How effectively does the index of hydrogen deficiency in carbohydrates used in potassium nitrate propellant affect enthalpy change and its performance? [PDF]
arXiv, 2023 This work looks at the relationship between the index of hydrogen deficiency (IHD) and the enthalpy of combustion of "sugar propellant," as well as the performance of carbohydrates with similar IHD values. The study used eight different carbohydrate sources as fuels in the propellant, combined with potassium nitrate as an oxidizer in a 35:65 ratio. The
arxiv