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Biochemistry & Physiology: Open Access
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  • Biochem Physiol 14: 5. 546,

Computational Modeling: Cellular Metabolism, Heterogeneity, Disease

Dr. Yasmin Ali*
Department of Bioinformatics and Systems Biology, Global Tech University, Singapore
*Corresponding Author : Dr. Yasmin Ali, Department of Bioinformatics and Systems Biology, Global Tech University, Singapore, Email: yasmin.ali@gtu.sg

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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