AIMC Topic: Glycolysis

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Dynamic mode decomposition for analysis and prediction of metabolic oscillations from time-lapse imaging of cellular autofluorescence.

Scientific reports Jul 2, 2025
Oscillations are a common phenomenon in cell biology. They are based on non-linear coupling of biochemical reactions and can show rich dynamic behavior as found in, for example, glycolysis of yeast cells. Here, we show that dynamic mode decomposition...
Glycolysis Glucose Machine Learning Algorithms NAD Time-Lapse Imaging Saccharomyces cerevisiae Optical Imaging Humans
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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 ...
Female Male Humans Machine Learning Glycolysis Computational Biology PPAR gamma Transcriptome Sepsis Middle Aged
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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.
Early Diagnosis Pyruvate Kinase Alzheimer Disease Case-Control Studies Glycolysis Computational Biology DNA Methylation Male Disease Progression Aged, 80 and over Machine Learning Humans Algorithms Biomarkers Female
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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...
Fuzzy Logic Carbon Metabolic Networks and Pathways Models, Biological Glycolysis Models, Theoretical Neoplasms Algorithms Humans Animals Gluconeogenesis Mammals
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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...
High-Throughput Screening Assays Mycobacterium tuberculosis Drug Design Fructose-Bisphosphate Aldolase Enzyme Inhibitors Machine Learning Humans Glycolysis Algorithms Computational Biology Tuberculosis
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