José Faro

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.

This paper evaluates the predictive capabilities of existing mathematical models of T-cell activation by assessing parameter identifiability and sensitivity.

The paper develops a general method to derive expressions for Emax and EC50 in T-cell activation models and applies it to models lacking these expressions.