By experimentally validating candidate functional mutations in 3D clusters in MAP2K1 and RAC1, we show that our method readily identifies previously occult rare activating mutations that could not be revealed by positional frequency analyses alone and that a subset of such mutations are potential biomarkers of sensitivity to targeted inhibitors in individual patients with cancer. Here, RAC1 is linked to cancer.