Mario Castro

This paper shows that different microscopic mechanisms for receptor-ligand bond behavior can produce equivalent mathematical forms, and introduces a new model to predict catch-slip behavior based on cooperative force-driven proofreading.

The paper challenges the logistic model of microbial growth, showing it is better described by a generalized theta-logistic model, which accounts for different growth mechanisms and environmental fluctuations.

The paper models endosome maturation using a mathematical framework and applies it to understand Dengue viral escape times from endosomes.

The paper introduces a simple analytical method to test structural identifiability of ordinary differential equation models by leveraging parameter scaling invariance, demonstrating its effectiveness through examples and comparisons with existing methods.