With respect to cyclic peptides, which are possibly the most studied class of macrocycles, a systematic treatment would be challenging because of the large number of active torsions. Nevertheless, our work shows that select clinically relevant cyclic peptides, with relatively few torsions, can be handled by this method. We obtained very satisfactory results for vancomycin, which contains 39 torsions. While it would be helpful to address such molecules with specialized representations and energy models, from the perspective of the docking software and scoring function, there is fundamentally no difference between molecules with amino acid constituents and any other chemical matter. Therefore, the success in this space suggests that improvements in the search function will be able to extend this method to larger and more torsionally complex peptides.