Bayesian approach to model CD137 signaling in human M. tuberculosis in vitro responses.

ABSTRACT: Immune responses are qualitatively and quantitatively influenced by a complex network of receptor-ligand interactions. Among them, the CD137:CD137L pathway is known to modulate innate and adaptive human responses against Mycobacterium tuberculosis. However, the underlying mechanisms of this regulation remain unclear. In this work, we developed a Bayesian Computational Model (BCM) of in vitro CD137 signaling, devised to fit previously gathered experimental data. The BCM is fed with the data and the prior distribution of the model parameters and it returns their posterior distribution and the model evidence, which allows comparing alternative signaling mechanisms. The BCM uses a coupled system of non-linear differential equations to describe the dynamics of Antigen Presenting Cells, Natural

SUBMITTER: Fernandez Do Porto DA 

PROVIDER: S-EPMC3577821 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature