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This is the workhorse of systems biology. Computational models represent cells as complex networks of genes, proteins, and chemical reactions using mathematical equations. They allow researchers to model specific processes like the cell cycle, signaling pathways, or metabolic networks. These "in silico" experiments can be run quickly and cheaply, helping to generate hypotheses and design laboratory experiments.

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