Modern docking methods address these issues by employing algorithms such as the Genetic Algorithm to sample the conformational space flexibly. However, it has been shown that these methods do not adequately produce poses that rank the activity of the ligand well and that the ability of these methods to produce a correct pose is dependent on the starting conformation of the ligand in question . Some methodologies use a fragment-based approach to docking to sample the conformational space for a given ligand efficiently. These fragment-based methods have reported a greater ability to rank activity between given ligands . Therefore, we believe that further expansion of fragment-based approaches is an appropriate way to improve upon previous works.