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In this Analysis, the authors discuss different strategies for the post-treatment control of HIV infection. They use mathematical modelling to predict the impact of different interventions and to estimate the therapeutic efficacy required to achieve a functional cure.
There is currently no single model that fits the wealth of experimental data that relate T cell activation to T cell receptor–peptide–MHC binding parameters. Here, the authors analyse and reformulate the published models, and suggest that a kinetic proofreading model that involves limited T cell receptor signalling provides the best fit.
