Metabolic Processes
Metabolic processes refer to the chemical reactions that occur within a living organism to maintain life. These processes involve the conversion of nutrients into energy and the synthesis of new molecules necessary for growth and repair. In data science, metabolic processes can be studied through the use of metabolomics, which involves the analysis of small molecules in biological samples. Metabolomics data can be used to identify biomarkers for disease, monitor drug efficacy, and understand the effects of environmental factors on metabolism. Machine learning algorithms can be applied to metabolomics data to identify patterns and predict outcomes. Additionally, metabolic network modeling can be used to simulate and predict metabolic processes in silico, allowing for the design of new drugs and the optimization of metabolic pathways for biotechnology applications.
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