Before revision:  The algorithm is tested on a boolean model of the mammalian cell cycle where retinoblastoma protein is inactivated, as seen in diseases such as cancer. It returns target combinations able to remove attractors responsible for pathological phenotypes . Results show that the algorithm succeeds in performing the proposed in silico target identification.
After revision:  The algorithm is tested on a boolean model of the mammalian cell cycle and its applications are illustrated on a boolean model of Fanconi anemia. Results show that the algorithm returns target combinations able to remove attractors responsible for pathological phenotypes . Results show that the algorithm succeeds in performing the proposed in silico target identification.