ABSTRACT
New 1,2,3-triazolo(thieno)stilbenes were synthesized as mixtures of isomers and efficiently photochemically transformed to their corresponding substituted thienobenzo/naphtho-triazoles in high isolated yields. The resulting photoproducts were studied as acetyl- (AChE) and butyrylcholinesterase (BChE) inhibitors without or with interconnected inhibition potential of TNF-α cytokine production. The most promising anti-inflammatory activity was shown again by naphtho-triazoles, with a derivative featuring 4-pentenyl substituents exhibiting notable potential as a cholinesterase inhibitor. To identify interactions between ligands and the active site of cholinesterases, molecular docking was performed for the best potential inhibitors. Additionally, molecular dynamics simulations were employed to assess and validate the stability and flexibility of the protein-ligand complexes generated through docking.
Subject(s)
Acetylcholinesterase , Butyrylcholinesterase , Butyrylcholinesterase/metabolism , Acetylcholinesterase/metabolism , Triazoles/pharmacology , Triazoles/chemistry , Molecular Docking Simulation , Structure-Activity Relationship , Cholinesterase Inhibitors/pharmacology , Cholinesterase Inhibitors/chemistry , LigandsABSTRACT
New 1,2,3-triazolostilbenes were synthesized and photochemically transformed to substituted naphthotriazoles as electrocyclization products in high isolated yields for studying the acetyl- and butyrylcholinesterase inhibitory and anti-inflammatory activity. The best experimental results showed the naphthotriazole photoproducts providing interesting observation on cholinesterase inhibition associated with the inhibition of TNFα cytokine production. The geometries of synthesized triazolostilbenes were computationally examined using Density Functional Theory (DFT), followed by time-dependent DFT calculations to obtain insight into electronic properties observed by UV-Vis spectroscopy. The complexes between selected compounds with the active site of AChE are assessed by docking. A quantum mechanical cluster approach was utilized to optimize their structures, thus providing insight into the stabilizing interactions between the potential inhibitor and the active site.