MATERIALS AND METHODS: Curcumin and its analogues were subjected to docking using PDE4A, PDE4B, PDE4C and PDE4D as the targets. A data set comprising 18 analogues of curcumin, was used as ligands for docking of PDE4 subtypes. Curcumin was used as the standard for comparison. Docking was performed using AutoDock Vina 1.1.2 software integrated in LigandScout 4.1. During this process water molecules were removed from proteins, charges were added and receptor structures were minimised by applying suitable force fields. The docking scores were compared, and the selectivity of compounds for PDE4B over PDE4D was calculated as well.
RESULTS: All curcumin analogues used in the study showed good binding affinity with all PDE4 subtypes, with evident selectivity towards PDE4B subtype. Analogue A11 provides the highest binding affinity among all ligands.
CONCLUSION: Curcumin and analogues have moderate to strong affinity towards all PDE4 subtypes and have evident selectivity towards PDE4B. The Oxygen atom of the methoxy group plays a key role in PDE4B binding and any alterations could interfere with the binding. Tetrahydropyran side chain and heterocyclic rings are also suggested to be helpful in PDE4B binding.
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 .
RESULTS AND DISCUSSION: The synthesized analogues were characterized by FT-IR, 1H/13C-NMR and MS studies as well C, H, N analysis. All synthesized compounds were evaluated for in vitro antibacterial activity against Gram-positive (B. subtilis), Gram-negative (E. coli, P. aeruginosa, K. pneumoniae and S. typhi) strains and in vitro antifungal activity against C. albicans and A. niger strains by serial dilution method, the minimum inhibitory concentration (MIC) described in μM/ml. The in vitro anticancer activity of synthesized compounds was determined against human colorectal carcinoma cell line (HCT- 116) using 5-fluorouracil as standard drug.
CONCLUSION: In general, most of the synthesized derivatives exhibited significant antimicrobial and anticancer activities. Compounds 8, 10, 15, 16, 17, 20 and 22 showed significant antimicrobial activity towards tested bacterial and fungal strains and compound 26 exhibited significant anticancer activity.