Matteo Mori

The paper develops a generalized growth law to predict antibiotic interactions by integrating single-drug responses and showing how different antibiotics affect ribosome levels and growth.

The paper introduces a framework to quantify metabolic function contributions and protein allocation in E. coli, revealing energy balance and enzyme-flux relationships.

This study quantifies how gene regulation in E. coli connects DNA to RNA and proteins under growth condition changes, revealing two principles governing protein allocation.

The paper shows that ppGpp in E. coli inversely responds to translational elongation rate, enabling growth rate perception and control through a regulatory circuit.

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.

The paper presents a genome-scale metabolic network for the cedar aphid's endosymbiotic consortium, confirming known metabolic complementation and identifying new pathway sharing, while exploring evolutionary mechanisms.