Abstract
Metabolic pathways are essential for the proper functioning of cells and organisms. Understanding these pathways is crucial for unraveling disease mechanisms, drug discovery, and metabolic engineering. Bioinformatics approaches have revolutionized the study of metabolic pathways by providing tools to analyze large-scale metabolic data, model complex biochemical networks, and predict metabolic behaviors. This article reviews the bioinformatics approaches used to study metabolic pathways, focusing on computational tools for metabolic network analysis, pathway reconstruction, and metabolic flux analysis. We also discuss the challenges, limitations, and future directions in this rapidly evolving field.
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