Computational Modeling: Cellular Metabolism, Heterogeneity, Disease
Abstract
Computational modeling is transforming cellular biology, providing tools to understand complex processes, particularly singlecell metabolic heterogeneity and mitochondrial dynamics. Integrating omics data with genome-scale models allows for detailed metabolic flux inference and whole-cell simulations. This capability reveals subtle cellular shifts, aids in understanding disease mechanisms, and helps predict therapeutic responses. Such approaches are crucial for personalized medicine and advancing systems biology.
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