OBJECTIVE: In this study, compounds that inhibit CCR5 obtained from the ChEMBL database were analysed, specifically for whether specific substructures and physicochemical properties are correlated to biological activity.
METHODS: Clustering was first performed to group 1,237 compounds into 10 clusters based on the similarities of their structure. Then, molecular docking was performed on 10 compounds representative of each cluster. Lastly, the Spearman correlation was computed between physicochemical properties and biological activity.
RESULTS: Results showed that potent CCR5 inhibitors tend to: (i) be larger in size (molecular weight of more than 500 g/mol), (ii) bind at the deep hydrophobic pocket, mostly through π-π stacking and (iii) have more than 1 aromatic ring. The larger size may aid in reaching the deep hydrophobic pocket. However, these requirements may lead to the violation of more than 1 Lipinski's Rule of 5.
CONCLUSION: Future studies should include analyses of the analogues or derivatives of the representative compounds to further expand on the findings here and establish the structure-activity relationship for CCR5 inhibition. This would aid in the development of new AD drugs since drug discovery and development of AD drugs are suffering from high attrition.
METHODS: In silico target prediction was first employed to predict the probability of the bromophenols interacting with key protein targets based on a model trained on known bioactivity data and chemical similarity considerations. Next, we tested the functional effect of natural bromophenols from Symphyocladia latiuscula on the CCK2 receptor followed by a molecular docking simulation to predict interactions between a compound and the binding site of the target protein.
RESULTS: Results of cell-based functional G-protein coupled receptor (GPCR) assays demonstrate that bromophenols 2,3,6-tribromo-4,5-dihydroxybenzyl alcohol (1), 2,3,6-tribromo-4,5-dihydroxybenzyl methyl ether (2), and bis-(2,3,6-tribromo-4,5-dihydroxybenzyl) ether (3) are full CCK2 antagonists. Molecular docking simulation of 1‒3 with CCK2 demonstrated strong binding by means of interaction with prime interacting residues: Arg356, Asn353, Val349, His376, Phe227, and Pro210. Simulation results predicted good binding scores and interactions with prime residues, such as the reference antagonist YM022.
CONCLUSIONS: The results of this study suggest bromophenols 1-3 are CCK2R antagonists that could be novel therapeutic agents for CCK2R-related diseases, especially anxiety and depression.