Currently, SMA-MD is limited to non-cyclic molecules. This limitation comes from the difficulty of generating realistic ring structures when representing molecules in internal coordinates, e.g. distance, angles, and torsions. This problem is particularly prescient for non-aromatic ring structures, including sugars, which are highly restrained but may undergo concerted slow conformational transitions. While heuristics are available to overcome this problem in e.g. rule-based conformer generations, these methods do not readily allow for the extraction of equilibrium statistics. Therefore, we leave accurate modeling of rings for future work. If modeling non-aromatic rings does not entail significant extra computational cost, we foresee that SMA-MD will be scalable to drug-like molecules. Drug-like molecules in the GEOM-Drugs dataset contain 1.7 aromatic rings and 1.3 non-aromatic rings per molecule. Consequently, the number of rotatable bonds in molecules studied here and those of drug-like molecules, 6.3 and 7.9 respectively, remain comparable.