Machine learning applications for mass spectrometry-based metabolomics
The metabolome of an organism depends on environmental factors and intracellular
regulation and provides information about the physiological conditions. Metabolomics helps …
regulation and provides information about the physiological conditions. Metabolomics helps …
Recent advances in machine learning applications in metabolic engineering
Metabolic engineering encompasses several widely-used strategies, which currently hold a
high seat in the field of biotechnology when its potential is manifesting through a plethora of …
high seat in the field of biotechnology when its potential is manifesting through a plethora of …
Addressing uncertainty in genome-scale metabolic model reconstruction and analysis
The reconstruction and analysis of genome-scale metabolic models constitutes a powerful
systems biology approach, with applications ranging from basic understanding of genotype …
systems biology approach, with applications ranging from basic understanding of genotype …
[HTML][HTML] Systems biology approaches integrated with artificial intelligence for optimized metabolic engineering
Metabolic engineering aims to maximize the production of bio-economically important
substances (compounds, enzymes, or other proteins) through the optimization of the …
substances (compounds, enzymes, or other proteins) through the optimization of the …
[HTML][HTML] New synthetic biology tools for metabolic control
In industrial bioprocesses, microbial metabolism dictates the product yields, and therefore,
our capacity to control it has an enormous potential to help us move towards a bio-based …
our capacity to control it has an enormous potential to help us move towards a bio-based …
Metabolic modelling as a framework for metabolomics data integration and analysis
Metabolic networks are regulated to ensure the dynamic adaptation of biochemical reaction
fluxes to maintain cell homeostasis and optimal metabolic fitness in response to …
fluxes to maintain cell homeostasis and optimal metabolic fitness in response to …
Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states
Generating large omics datasets has become routine for gaining insights into cellular
processes, yet deciphering these datasets to determine metabolic states remains …
processes, yet deciphering these datasets to determine metabolic states remains …
Building kinetic models for metabolic engineering
Highlights•Kinetic models integrate heterogeneous data to give metabolic engineering
insights.•Need accurate catalytic and allostery kinetic parameters for quality kinetic …
insights.•Need accurate catalytic and allostery kinetic parameters for quality kinetic …
Cell factory design with advanced metabolic modelling empowered by artificial intelligence
Advances in synthetic biology and artificial intelligence (AI) have provided new opportunities
for modern biotechnology. High-performance cell factories, the backbone of industrial …
for modern biotechnology. High-performance cell factories, the backbone of industrial …
Yeast increases glycolytic flux to support higher growth rates accompanied by decreased metabolite regulation and lower protein phosphorylation
M Chen, T Xie, H Li, Y Zhuang… - Proceedings of the …, 2023 - National Acad Sciences
Supply of Gibbs free energy and precursors are vital for cellular function and cell metabolism
have evolved to be tightly regulated to balance their supply and consumption. Precursors …
have evolved to be tightly regulated to balance their supply and consumption. Precursors …