Andrea De Martino

The paper shows that E. coli's switch between fermentation and respiration in carbon-limited growth is governed by a trade-off between maximizing growth yield and minimizing proteome costs.

This study quantifies the regulatory cost of cellular growth control using a Maximum Entropy approach in E. coli and human cells, showing different regulatory strategies and linking inverse temperature to growth dynamics.

The paper translates ceRNA susceptibilities into correlation functions to estimate crosstalk strength and validates this approach using simulations and TCGA data.