A Computational Study of Phenothiazine Derivatives as Acetylcholinesterase Inhibitors Targeting Alzheimer's Disease.

backgroundAlzheimer's disease is a neurodegenerative disorder that affects learning, memory and behavioral turbulence in elderly patients. Acetylcholinesterase (AChE) inhibitors act as anti-Alzheimer's agents. Phenothiazine derivatives are considered momentous anti-Alzheimer's agents because of their AChE inhibitory activity. The elevated levels and increased expression of this protein have been associated with Alzheimer's disease. Coumarin-fused phenothiazines have emerged as significant anti-Alzheimer's agents due to their notable receptor inhibitory activity.

objectiveSome unique phenothiazine analogs were designed, and computational studies were conducted to explore their inhibitory activity against the AChE enzyme (PDB id: 4EY7) by using the Schrodinger suite-2019-4.

methodsDocking studies were conducted by using the Glide module; binding free energies were calculated by means of the Prime MM-GBSA module, and Molecular dynamics (MD) simulation was performed by using the Desmond module of the Schrodinger suite. Glide scores were used to find out the binding affinity of the ligands with the target 4EY7.

resultsThe compounds exhibited enhanced hydrophobic interactions and formed hydrogen bonds, effectively impeding Acetylcholinesterase. The Glide scores for the compounds ranged from -13.4237 to -8.43439, surpassing the standard (Donepezil) with a score of -16.9898. Interestingly, a positive value was obtained for the MM-GBSA binding of the potent inhibitor. To gain insights into the dynamic behavior of the protein A8, molecular dynamics (MD) simulations were employed.

conclusionBased on the results, the study concludes that phenothiazine derivatives show promise as acetylcholinesterase inhibitors. Compounds with notable Glide scores are poised to exhibit significant anti-Alzheimer's activity, suggesting their potential therapeutic efficacy. Further