A flexible system has a greater number of active torsions than does a rigid system. This increases the difficulty of searching the torsional space for the appropriate binding mode, decreasing the rate of convergence. We show that removing the heuristic for estimating the number of evaluations needed for a system and turning off the auto stopping criteria (both of which designed to reduce the time taken to dock small molecules) can improve performance on some of the larger systems that do not converge. Importantly, this difference in number of torsions is intrinsically dependent on the ring size for the broken macrocycle, and this is reflected in the fact that this method performs better for smaller rings (up to 15-membered rings). As shown in Fig. , these rings represent the majority of deposited complexes, and are more commonly accessible through medicinal chemistry approaches. Some of these inaccuracies in the scoring and ranking of the correct results could be also mitigated in the context of a focused drug discovery effort by using knowledge-based post-processing steps, such as the presence of known interactions, (e.g., the key hydrogen bonding with the catalytic aspartates in the context of the HIV-1 protease inhibitors).