AIMC Topic: Oxidation-Reduction

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Label-free metabolic clustering through unsupervised pixel classification of multiparametric fluorescent images.

Analytica chimica acta Dec 31, 2020
Autofluorescence microscopy is a promising label-free approach to characterize NADH and FAD metabolites in live cells, with potential applications in clinical practice. Although spectrally resolved lifetime imaging techniques can acquire multiparamet...
Cluster Analysis Oxidation-Reduction Mitochondria NAD Artificial Intelligence
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Phytochemical, antibacterial, antioxidant and cytoxicity investigation of .

Zeitschrift fur Naturforschung. C, Journal of biosciences Dec 17, 2020
The phytochemical investigation of led to the isolation of 18 known compounds of which were four flavones, three anthraquinones, one phenyl propanoic derivative, five triterpenoids, four steroids and a mixture of glucose. Luteolin () and soranjidiol...
Rubiaceae Cell Survival Plant Leaves Microbial Sensitivity Tests Biphenyl Compounds Phytochemicals Cell Line, Tumor Chromatography Bacteria Humans Picrates Antioxidants Anti-Bacterial Agents Plant Stems Plant Bark Mass Spectrometry Oxidation-Reduction Molecular Structure
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Virtual Screening for Reactive Natural Products and Their Probable Artifacts of Solvolysis and Oxidation.

Biomolecules Oct 27, 2020
Chemically unstable natural products are prone to show their reactivity in the procedures of extraction, purification, or identification and turn into contaminants as so-called "artifacts". However, identification of artifacts requires considerable i...
Deep Learning Drug Evaluation, Preclinical Solubility Biological Products Oxidation-Reduction
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Conformational changes of β-thalassemia major hemoglobin and oxidative status of plasma after in vitro exposure to extremely low-frequency electromagnetic fields: An artificial neural network analysis.

Electromagnetic biology and medicine Oct 23, 2020
Electromagnetic fields (EMF) can generate reactive oxygen species and induce oxidative modifications. We investigated the effects of extremely low-frequency electromagnetic fields (ELF-EMF) on oxidative status of plasma and erythrocytes in β-thalasse...
Oxidation-Reduction Hemoglobins beta-Thalassemia Humans Neural Networks, Computer Oxidative Stress Protein Conformation Electromagnetic Fields
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Synaptic Iontronic Devices for Brain-Mimicking Functions: Fundamentals and Applications.

ACS applied bio materials Sep 2, 2020
Inspired by the information transmission mechanism in the central nervous systems of life, synapse-mimicking devices have been designed and fabricated for the purpose of breaking the bottleneck of von Neumann architecture and realizing the constructi...
Artificial Organs Oxidation-Reduction Synapses Neural Networks, Computer Biomimetics Ion Transport Transistors, Electronic Ions Neuronal Plasticity
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Artificial Intelligence Methods for Constructing Wine Barrels with a Controlled Oxygen Transmission Rate.

Molecules (Basel, Switzerland) Jul 21, 2020
Oxygen is an important factor in the wine aging process, and the oxygen transmission rate (OTR) is the parameter of the wood that reflects its oxygen permeation. OTR has not been considered in the cooperage industry yet; however, recent studies propo...
Wine Wood Food Packaging Oxidation-Reduction Artificial Intelligence Oxygen Time Factors
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The proteome landscape of the kingdoms of life.

Nature Jun 17, 2020
Proteins carry out the vast majority of functions in all biological domains, but for technological reasons their large-scale investigation has lagged behind the study of genomes. Since the first essentially complete eukaryotic proteome was reported, ...
Chromatography Classification Species Specificity Proteomics Proteome Oxidation-Reduction Protein Folding Protein Biosynthesis Photosynthesis Bacteroides Homeostasis Proteolysis Carbohydrate Metabolism Animals Ion Transport Glycolysis Peptides Deep Learning Iron-Sulfur Proteins
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Machine-Learning-Enabled Exploration of Morphology Influence on Wire-Array Electrodes for Electrochemical Nitrogen Fixation.

The journal of physical chemistry letters May 29, 2020
Neural networks, trained on data generated by a microkinetic model and finite-element simulations, expand explorable parameter space by significantly accelerating the predictions of electrocatalytic performance. In addition to modeling electrode reac...
Oxidation-Reduction Neural Networks, Computer Nanowires Machine Learning Electrodes Electrochemical Techniques Proof of Concept Study Nitrogen
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A Comparison between Several Response Surface Methodology Designs and a Neural Network Model to Optimise the Oxidation Conditions of a Lignocellulosic Blend.

Biomolecules May 19, 2020
In this paper, response surface methodology (RSM) designs and an artificial neural network (ANN) are used to obtain the optimal conditions for the oxy-combustion of a corn-rape blend. The ignition temperature () and burnout index () were selected as ...
Lignin Brassica napus Oxygen Zea mays Carbon Dioxide Temperature Biomass Oxidation-Reduction Neural Networks, Computer
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Discovery of Small-Molecule Activators for Glucose-6-Phosphate Dehydrogenase (G6PD) Using Machine Learning Approaches.

International journal of molecular sciences Feb 23, 2020
Glucose-6-Phosphate Dehydrogenase (G6PD) is a ubiquitous cytoplasmic enzyme converting glucose-6-phosphate into 6-phosphogluconate in the pentose phosphate pathway (PPP). The G6PD deficiency renders the inability to regenerate glutathione due to lack...
Oxidative Stress Oxidation-Reduction Glucosephosphate Dehydrogenase Deficiency Glutathione X-Ray Diffraction Drug Evaluation, Preclinical Catalytic Domain Animals Molecular Docking Simulation Drug Discovery Humans Machine Learning Pentose Phosphate Pathway Protein Interaction Domains and Motifs Glucosephosphate Dehydrogenase NADP
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