Author(s): Dr. Yasmin Ali*
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.
