HIV evades antiretroviral therapy by hyperaccumulating mutations. These authors developed a tool that uses probabilistic models to predict the series of mutations that occur following drug treatment. This approach predicts the success of different therapeutic combinations based on the likelihood of the virus being able to evolve resistance to them. This measure outperformed current approaches to predict viral load when applied to data from a large patient cohort.