A cell's ability to survive when food is scarce depends entirely on the specific shape of its internal 'wiring.'
March 23, 2026
Original Paper
Starvation suppression in scale-free metabolic networks: Dynamical mean-field analysis of dense catalytic reaction networks
arXiv · 2603.19850
The Takeaway
It turns out the way biological networks are organized isn't random; their specific mathematical structure creates a 'starvation suppression' effect. This provides a physical explanation for how cells can keep functioning even when they have almost no food.
From the abstract
Cellular metabolic networks exhibit scale-free topologies with power-law degree distributions across diverse organisms. Although such topologies are often linked to mutational robustness and evolutionary advantage, their role in metabolic dynamics remains unclear. Using dynamical mean-field theory, we derive an exact solution for an intracellular catalytic reaction model on dense random networks with arbitrary degree distributions. We show that the metabolic-starvation transition observed under