RESULTS: Pose prediction experiments indicate that chaos-embedded algorithms outperform AutoDock Vina and PSOVina in ligand pose RMSD, success rate, and run time. In virtual screening experiments, Singer map-embedded PSOVina[Formula: see text] achieved a very significant five- to sixfold speedup with comparable screening performances to AutoDock Vina in terms of area under the receiver operating characteristic curve and enrichment factor. Therefore, our results suggest that chaos-embedded PSOVina methods might be a better option than AutoDock Vina for docking and virtual screening tasks. The success of chaotic maps in protein-ligand docking reveals their potential for improving optimization algorithms in other search problems, such as protein structure prediction and folding. The Singer map-embedded PSOVina[Formula: see text] which is named PSOVina-2.0 and all testing datasets are publicly available on https://cbbio.cis.umac.mo/software/psovina .
CASE PRESENTATION: A 60-year-old Malay gentleman presented to the Periodontic Clinic, Universiti Kebangsaan Malaysia. He was a known case of primary PRV for the past 5 years. Intraoral examination showed generalized periodontal deep pockets ranging from 5 to 10 mm. He was diagnosed as Stage III Grade C periodontitis. Nonsurgical periodontal therapy was provided, followed by surgical correction of residual periodontal deep pockets on teeth 17, 11, and 23. He was reviewed at 4-month intervals for supportive periodontal therapy after stabilization of his periodontal condition.
CONCLUSION: Polycythemia rubra vera (PRV) patients should have preoperative therapeutic control for more than 4 months and have been treated with myelosuppressive agents prior to periodontal surgery. Good oral hygiene and periodical supportive periodontal therapy are the key factors for successful periodontal treatment outcomes in well-controlled PRV patients.