AIMC Topic: NAD

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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...
Humans Machine Learning Algorithms Optical Imaging NAD Time-Lapse Imaging Glycolysis Glucose Saccharomyces cerevisiae
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Excited state kinetics of tryptophan and NAD(P)H in blood plasma of normal and abnormal liver conditions: A tool to understand the metabolic changes and classification.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 6, 2025
Early diagnosis at the metabolomic level is crucial for the treatment of liver cirrhosis and hepatocellular carcinoma (HCC). In this study, attempts were made to investigate the excited-state kinetics of intrinsic fluorophores, tryptophan and nicotin...
Humans Female Adult NAD NADP Liver Cirrhosis Cluster Analysis Liver Spectrometry, Fluorescence Kinetics Tryptophan Male ROC Curve Middle Aged Liver Neoplasms Carcinoma, Hepatocellular
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Deep learning for NAD/NADP cofactor prediction and engineering using transformer attention analysis in enzymes.

Metabolic engineering Nov 20, 2024
Understanding and manipulating the cofactor preferences of NAD(P)-dependent oxidoreductases, the most widely distributed enzyme group in nature, is increasingly crucial in bioengineering. However, large-scale identification of the cofactor preference...
Deep Learning Protein Engineering NAD NADP
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Employ machine learning to identify NAD+ metabolism-related diagnostic markers for ischemic stroke and develop a diagnostic model.

Experimental gerontology Sep 19, 2024
Ischemic stroke (IS) is a severe condition regulated by complex molecular alterations. This study aimed to identify potential nicotinamide adenine dinucleotide (NAD+) metabolism-associated diagnostic markers of IS and explore their associations with ...
Ischemic Stroke NAD Gene Regulatory Networks Databases, Genetic Humans Machine Learning Biomarkers Gene Expression Profiling
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Concentration-dependent dual effects of exogenous sucrose on nitrogen metabolism in Andrographis paniculata.

Scientific reports Mar 22, 2022
The effects of exogenous sucrose (Suc) concentrations (0, 0.5, 1, 5, 10 mmol L) on carbon (C) and nitrogen (N) metabolisms were investigated in a medicinal plant Andrographis paniculata (Chuanxinlian). Suc application with the concentration of 0.5-5 ...
Sucrose Plant Leaves Nitrogen Andrographis paniculata NAD
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Identifying metastatic ability of prostate cancer cell lines using native fluorescence spectroscopy and machine learning methods.

Scientific reports Jan 26, 2021
Metastasis is the leading cause of mortalities in cancer patients due to the spreading of cancer cells to various organs. Detecting cancer and identifying its metastatic potential at the early stage is important. This may be achieved based on the qua...
Tryptophan NAD Prostatic Neoplasms Neoplasm Metastasis Lactic Acid Principal Component Analysis Spectrometry, Fluorescence Machine Learning Humans Reproducibility of Results Cell Line, Tumor Male ROC Curve Support Vector Machine
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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...
Artificial Intelligence Mitochondria NAD Cluster Analysis Oxidation-Reduction
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The NAD-mitophagy axis in healthy longevity and in artificial intelligence-based clinical applications.

Mechanisms of ageing and development Dec 5, 2019
Nicotinamide adenine dinucleotide (NAD) is an important natural molecule involved in fundamental biological processes, including the TCA cycle, OXPHOS, β-oxidation, and is a co-factor for proteins promoting healthy longevity. NAD depletion is associa...
Longevity NAD Healthy Aging Mitophagy Organelle Biogenesis Humans Artificial Intelligence Mitochondria Drug Discovery Alzheimer Disease Homeostasis
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Recognizing five molecular ligand-binding sites with similar chemical structure.

Journal of computational chemistry Oct 23, 2019
Accurate identification of ligand-binding sites and discovering the protein-ligand interaction mechanism are important for understanding proteins' functions and designing new drugs. Meanwhile, accurate computational prediction and mechanism research ...
Proteins Adenosine Triphosphate Ligands Support Vector Machine Adenosine Diphosphate Guanosine Diphosphate Binding Sites NAD Guanosine Triphosphate
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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...
Metabolic Flux Analysis Neural Networks, Computer Glycolysis Algorithms Metabolic Networks and Pathways NAD
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