 In this work we use a combination of statistical physics and dynamical systems approaches , to analyze the  response to an antigen  of a simplified model of the adaptive immune system, which comprises B, T helper and T regulatory lymphocytes. Results show that the model is remarkably robust against changes in the  kinetic parameters, noise levels, and mechanisms that activate T regulatory lymphocytes.
<coherence>  In this work we use a combination of statistical physics and dynamical systems approaches , to analyze the  response to an antigen  of a simplified model of the adaptive immune system, which comprises B, T helper and T regulatory lymphocytes. Results show that the model is remarkably robust against changes in the  kinetic parameters, noise levels, and mechanisms that activate T regulatory lymphocytes.
 In this work we use a combination of statistical physics and dynamical systems approaches , to analyze the response to an antigen of a simplified model of the adaptive immune system, which comprises B, T-helper and T-suppressor lymphocytes. The model is remarkably robust against changes in the kinetic parameters, noise levels, and mechanisms that activate T regulatory lymphocytes.