AIMC Topic: Carbohydrates

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Prediction of thermodynamic properties of aqueous carbohydrates solution using the PHSC and ANN models.

Scientific reports Jul 1, 2025
In this work the Artificial Neural Network (ANN) and the Perturbed Hard Sphere Chain (PHSC) equation of state (EoS) have been utilized to estimate the osmotic coefficient, activity coefficient, and water activity of aqueous sugar solutions containing...
Carbohydrates Solutions Thermodynamics Neural Networks, Computer Water
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An intelligent sensing platform for detecting and identifying biochemical substances based on terahertz spectra.

Talanta Sep 27, 2024
This paper presents the development of an intelligent sensing platform dedicated to accurately identifying terahertz (THz) spectra obtained from various biochemical substances. The platform currently has two distinct identification modes, which focus...
Amino Acids Neural Networks, Computer Carbohydrates Terahertz Spectroscopy
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Highly accurate carbohydrate-binding site prediction with DeepGlycanSite.

Nature communications Jun 17, 2024
As the most abundant organic substances in nature, carbohydrates are essential for life. Understanding how carbohydrates regulate proteins in the physiological and pathological processes presents opportunities to address crucial biological problems a...
Deep Learning Protein Binding Binding Sites Models, Molecular Humans Carbohydrates Neural Networks, Computer Proteins
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PeSTo-Carbs: Geometric Deep Learning for Prediction of Protein-Carbohydrate Binding Interfaces.

Journal of chemical theory and computation Apr 11, 2024
The Protein Structure Transformer (PeSTo), a geometric transformer, has exhibited exceptional performance in predicting protein-protein binding interfaces and distinguishing interfaces with nucleic acids, lipids, small molecules, and ions. In this st...
Deep Learning Protein Binding Proteins Carbohydrates Binding Sites
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Deep learning-based characterization and redesign of major potato tuber storage protein.

Food chemistry Jan 23, 2024
Potato is one of the most important crops worldwide, to feed a fast-growing population. In addition to providing energy, fiber, vitamins, and minerals, potato storage proteins are considered as one of the most valuable sources of non-animal proteins ...
Deep Learning Carbohydrates Solanum tuberosum Plant Proteins Plant Tubers
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Artificial Intelligence Technology for Food Nutrition.

Nutrients Oct 27, 2023
Food nutrition is generally defined as the heat energy and nutrients obtained from food by the human body, such as protein, fat, carbohydrates and so on [...].
Carbohydrates Food Humans Energy Intake Nutrients Artificial Intelligence
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Prediction of ethanol fermentation under stressed conditions using yeast morphological data.

Journal of bioscience and bioengineering Jan 13, 2023
A high sugar concentration is used as a starting condition in alcoholic fermentation by budding yeast, which shows changes in intracellular state and cell morphology under conditions of high-sugar stress. In this study, we developed artificial intell...
Saccharomyces cerevisiae Fermentation Sugars Glucose Carbohydrates Artificial Intelligence Ethanol
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Validating Accuracy of an Internet-Based Application against USDA Computerized Nutrition Data System for Research on Essential Nutrients among Social-Ethnic Diets for the E-Health Era.

Nutrients Jul 31, 2022
Internet-based applications (apps) are rapidly developing in the e-Health era to assess the dietary intake of essential macro-and micro-nutrients for precision nutrition. We, therefore, validated the accuracy of an internet-based app against the Nutr...
Artificial Intelligence Diet Telemedicine Vitamin B 12 United States Department of Agriculture Internet Energy Intake United States Nutrients Carbohydrates
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Cohort profile: Japanese human milk study, a prospective birth cohort: baseline data for lactating women, infants and human milk macronutrients.

BMJ open Dec 30, 2021
PURPOSE: The Japanese Human Milk Study, a longitudinal prospective cohort study, was set up to clarify how maternal health, nutritional status, lifestyle and sociodemographic and economic factors affect breastfeeding practices and human milk composit...
Osteopontin Japan Lactation Milk, Human Vitamin D Cesarean Section Cohort Studies Male Fatty Acids Pregnancy Humans Child Breast Feeding Carbohydrates Female Infant Nutrients Prospective Studies Phospholipids
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Transfer learning enables the molecular transformer to predict regio- and stereoselective reactions on carbohydrates.

Nature communications Sep 25, 2020
Organic synthesis methodology enables the synthesis of complex molecules and materials used in all fields of science and technology and represents a vast body of accumulated knowledge optimally suited for deep learning. While most organic reactions i...
Oligosaccharides Chemistry Techniques, Synthetic Carbohydrate Metabolism Molecular Structure Machine Learning Carbohydrates Glycosylation
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