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The homeostatic framework has dominated our understanding of cellular physiology. We question whether homeostasis alone adequately explains microbial responses to environmental stimuli, and explore the capacity of intracellular networks for predictive behavior in a fashion similar to metazoan nervous systems. We show that in silico biochemical networks,(More)
One of the central challenges in computational biology is the development of predictive multi-scale models that can capture the diverse layers of cellular organization. Even more scarce are models that encode biophysical phenomena together with evolutionary forces, in order to provide insight on the effect of adaptation at a systems-level. Over the last(More)
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