AIMC Topic: Metabolic Flux Analysis

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Coupling flux balance analysis with reactive transport modeling through machine learning for rapid and stable simulation of microbial metabolic switching.

Scientific reports Feb 19, 2025
Integrating genome-scale metabolic networks with reactive transport models (RTMs) provides a detailed description of the dynamic changes in microbial growth and metabolism. Despite promising demonstrations in the past, computational inefficiency has ...
Neural Networks, Computer Machine Learning Computer Simulation Metabolic Networks and Pathways Models, Biological Shewanella Metabolic Flux Analysis
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Metabolic Fluxes Using Deep Learning Based on Enzyme Variations: .

International journal of molecular sciences Dec 13, 2024
Metabolic pathway modeling, essential for understanding organism metabolism, is pivotal in predicting genetic mutation effects, drug design, and biofuel development. Enhancing these modeling techniques is crucial for achieving greater prediction accu...
Deep Learning Glycolysis Metabolic Networks and Pathways Models, Biological Entamoeba histolytica Metabolic Flux Analysis
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Machine learning applied for metabolic flux-based control of micro-aerated fermentations in bioreactors.

Biotechnology and bioengineering Mar 17, 2021
Various bio-based processes depend on controlled micro-aerobic conditions to achieve a satisfactory product yield. However, the limiting oxygen concentration varies according to the micro-organism employed, while for industrial applications, there is...
Machine Learning Ethanol Anaerobiosis Oxygen Bioreactors Fermentation Saccharomyces cerevisiae Batch Cell Culture Techniques Metabolic Flux Analysis
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A mechanism-aware and multiomic machine-learning pipeline characterizes yeast cell growth.

Proceedings of the National Academy of Sciences of the United States of America Jul 16, 2020
Metabolic modeling and machine learning are key components in the emerging next generation of systems and synthetic biology tools, targeting the genotype-phenotype-environment relationship. Rather than being used in isolation, it is becoming clear th...
Machine Learning Transcriptome Systems Biology Models, Biological Saccharomyces cerevisiae Metabolic Flux Analysis
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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 Networks and Pathways NAD Metabolic Flux Analysis
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