AIMC Topic: Carbohydrates

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Incorporating microbial community data with machine learning techniques to predict feed substrates in microbial fuel cells.

Biosensors & bioelectronics Mar 13, 2019
The complicated interactions that occur in mixed-species biotechnologies, including biosensors, hinder chemical detection specificity. This lack of specificity limits applications in which biosensors may be deployed, such as those where an unknown fe...
Genomics Bacteria Biosensing Techniques Carbohydrates Genome, Bacterial Microbiota Acetates Machine Learning Algorithms Wastewater
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Comparative Study Between Conventional Fasting Versus Overnight Infusion of Lipid or Carbohydrate on Insulin and Free Fatty Acids in Obese Patients Undergoing Elective On-pump Coronary Artery Bypass Grafting. A Prospective Randomized Trial.

Journal of cardiothoracic and vascular anesthesia Nov 24, 2017
OBJECTIVES: Postoperative insulin resistance represents a major component of postoperative metabolic disorder. The authors compared the effects of preoperative infusion of lipid emulsion or carbohydrate to conventional preoperative fasting on postope...
Coronary Artery Bypass Fat Emulsions, Intravenous Fatty Acids, Nonesterified Fasting Insulin Middle Aged Elective Surgical Procedures Carbohydrates Double-Blind Method Obesity Aged Prospective Studies Male Female Adult Humans
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Development of a sugar-binding residue prediction system from protein sequences using support vector machine.

Computational biology and chemistry Nov 9, 2016
Several methods have been proposed for protein-sugar binding site prediction using machine learning algorithms. However, they are not effective to learn various properties of binding site residues caused by various interactions between proteins and s...
Support Vector Machine Binding Sites Proteins Carbohydrates Cluster Analysis
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Sequence-Based Prediction of Protein-Carbohydrate Binding Sites Using Support Vector Machines.

Journal of chemical information and modeling Sep 22, 2016
Carbohydrate-binding proteins play significant roles in many diseases including cancer. Here, we established a machine-learning-based method (called sequence-based prediction of residue-level interaction sites of carbohydrates, SPRINT-CBH) to predict...
Molecular Docking Simulation Protein Binding ROC Curve Humans Binding Sites Carbohydrates Carbohydrate Metabolism Proteins Support Vector Machine Databases, Protein
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Prediction of sugar yields during hydrolysis of lignocellulosic biomass using artificial neural network modeling.

Bioresource technology Feb 11, 2015
The present investigation was carried out to study application of ANN as a tool for predicting sugar yields of pretreated biomass during hydrolysis process at various time intervals. Since it is known that biomass loading and particle size influences...
Alkalies Cellulase Neural Networks, Computer Biomass Reproducibility of Results Lignin Carbohydrates Fermentation Hydrolysis Particle Size Oryza Ethanol
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