We use adaptive sparse grid interpolation to produce accurate and efficient estimates of the sensitivity coefficients of Sobol’ and to guide the design of experiments based on model output. We illustrate this method on two models of the mitogen-activated protein kinase cascade, one with 3 uncertain parameters and one with 18 uncertain parameters.