Yeliz Demir , Halil Şenol , Orhan Uluçay , Şeyma Ateşoğlu S. , Feyzi Sinan Tokalı
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引用次数: 0
Abstract
Inhibition of acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) is a key therapeutic approach in the management of Alzheimer’s disease and other neurodegenerative disorders. A novel series of phenolic Mannich base-derived thiosemicarbazones and their cyclized thiazolidin-4-one analogs incorporating morpholine moieties were synthesized and characterized. Enzyme inhibition kinetics were evaluated against AChE and BChE, with cytotoxicity assessed on the BEAS-2B cell line. The most potent inhibitors were further examined via molecular docking, MM-GBSA binding free energy decomposition, and 250 ns molecular dynamics (MD) simulations to elucidate their binding mechanisms and stability. Compounds 12 (AChE, Ki = 32.83 ± 4.45 nM) and 6 (BChE, Ki = 30.13 ± 5.78 nM) exhibited the highest inhibitory activities without notable cytotoxicity at their effective concentrations. Kinetic analyses revealed competitive inhibition. Computational studies demonstrated that morpholine tertiary amine groups played a pivotal role in anchoring the ligands via persistent cation–π and hydrogen-bond interactions with key active site residues. In silico ADME analysis indicated that most of the synthesized compounds possess favorable pharmacokinetic properties. This combined in vitro and in silico study identifies compounds 6 and 12 as promising lead structures for cholinesterase inhibition, highlighting the critical contribution of tertiary amine moieties to binding affinity and selectivity.
期刊介绍:
Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered.
Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered.
Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.