AIMC Topic: Glycolysis

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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, ...
Iron-Sulfur Proteins Protein Biosynthesis Photosynthesis Bacteroides Animals Chromatography Classification Species Specificity Carbohydrate Metabolism Protein Folding Homeostasis Peptides Proteolysis Deep Learning Proteome Ion Transport Oxidation-Reduction Glycolysis Proteomics
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Deep learning analysis using FDG-PET to predict treatment outcome in patients with oral cavity squamous cell carcinoma.

European radiology Jun 10, 2020
OBJECTIVE: To assess the utility of deep learning analysis using F-fluorodeoxyglucose (FDG) uptake by positron emission tomography (PET/CT) to predict disease-free survival (DFS) in patients with oral cavity squamous cell carcinoma (OCSCC).
Deep Learning Glycolysis Treatment Outcome Male Middle Aged Diagnosis, Computer-Assisted Neoplasm Staging Mouth Neoplasms Disease-Free Survival Tumor Burden Squamous Cell Carcinoma of Head and Neck Predictive Value of Tests Positron Emission Tomography Computed Tomography Retrospective Studies Female Reproducibility of Results Adult Sensitivity and Specificity Humans Aged Algorithms Aged, 80 and over Fluorodeoxyglucose F18 Kaplan-Meier Estimate
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Flux prediction using artificial neural network (ANN) for the upper part of glycolysis.

PloS one May 8, 2019
The selection of optimal enzyme concentration in multienzyme cascade reactions for the highest product yield in practice is very expensive and time-consuming process. The modelling of biological pathways is a difficult process because of the complexi...
Neural Networks, Computer Algorithms Glycolysis Metabolic Flux Analysis Metabolic Networks and Pathways NAD
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Putative identification of components in Zengye Decoction and their effects on glucose consumption and lipogenesis in insulin-induced insulin-resistant HepG2 cells.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Dec 12, 2017
Zengye Decoction (ZYD) is a well-known traditional medicine in China used for treating diseases associated with "Yin deficiency" such as diabetes. However, little information is available on its components, pharmacological effects and underlying mech...
AMP-Activated Protein Kinases Insulin Resistance Humans Glucose Hep G2 Cells Insulin Lipogenesis Drugs, Chinese Herbal Glycolysis
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Unveiling the glycolysis in sepsis: Integrated bioinformatics and machine learning analysis identifies crucial roles for IER3, DSC2, and PPARG in disease pathogenesis.

Medicine Sep 27, 2024
Sepsis, a multifaceted syndrome driven by an imbalanced host response to infection, remains a significant medical challenge. At its core lies the pivotal role of glycolysis, orchestrating immune responses especially in severe sepsis. The intertwined ...
Humans Machine Learning Female Sepsis Glycolysis Computational Biology PPAR gamma Male Middle Aged Transcriptome
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Identification of Blood-Based Glycolysis Gene Associated with Alzheimer's Disease by Integrated Bioinformatics Analysis.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: Alzheimer's disease (AD) is one of many common neurodegenerative diseases without ideal treatment, but early detection and intervention can prevent the disease progression.
Pyruvate Kinase DNA Methylation Alzheimer Disease Early Diagnosis Female Aged, 80 and over Male Glycolysis Computational Biology Disease Progression Case-Control Studies Machine Learning Humans Algorithms Biomarkers
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A fuzzy logic controller based approach to model the switching mechanism of the mammalian central carbon metabolic pathway in normal and cancer cells.

Molecular bioSystems Jul 19, 2016
Dynamics of large nonlinear complex systems, like metabolic networks, depend on several parameters. A metabolic pathway may switch to another pathway in accordance with the current state of parameters in both normal and cancer cells. Here, most of th...
Models, Biological Mammals Animals Fuzzy Logic Neoplasms Gluconeogenesis Carbon Glycolysis Humans Metabolic Networks and Pathways Models, Theoretical Algorithms
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Cheminformatics Based Machine Learning Approaches for Assessing Glycolytic Pathway Antagonists of Mycobacterium tuberculosis.

Combinatorial chemistry & high throughput screening Jan 1, 2016
BACKGROUND: Tuberculosis is the second leading cause of death from an infectious disease worldwide after HIV, thus reasoning the expeditions in antituberculosis research. The rising number of cases of infection by resistant forms of M. tuberculosis h...
Mycobacterium tuberculosis Glycolysis Humans Fructose-Bisphosphate Aldolase Algorithms Computational Biology High-Throughput Screening Assays Machine Learning Drug Design Tuberculosis Enzyme Inhibitors
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