Parset5 uses similar clustering to parset2, but instead of picking the lowest energy structure from each clusters, it picks 2 additional structures. Therefore, for each of the "nfold" clusters a total of 3 structures are optimized. By doing this, mistakes by the K-means clustering are attempted to overcome. This improves the performance of reproducing QM optimized model and ideal structures. Within 36 total suggested local minima, we observed a success of 46.6% in model and 67.1% in ideal structures based on the RMSD≤0.5 Å. Mean RMSD values of among all conformers generated are observed as 0.69 and 0.43 Å for model and ideal structures, respectively.