The goal of our approach is to "drug the undrug-gable" by bringing multiple unexplored molecules into the spotlight, and at the same time overcome drug resistance. Unlike many reported methods which are fragment-based, it is completely atomistic. Such methods tend to explore larger regions of the chemical space as they are not anchored down by predefined fragments . Our program generates molecules directly in the protein active site by combining atoms in a configuration favoring strong interactions with the protein. While a similar method called LEGEND has been reported previously, it has used random placement followed by rejection sampling, which is usually less efficient than biased sampling methods. Another important distinction is that most recent methods that optimize the drug molecules do so without directly considering the protein in the molecule generation phase . The molecules are then docked to the protein. These methods rely on the accuracy of docking, which results in failure at the screening phase for many molecules, causing the algorithms to either be very slow or inefficient.