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  • Title: Computational Studies on Acetylcholinesterase Inhibitors: From Biochemistry to Chemistry.
    Author: Bagri K, Kumar A, Manisha, Kumar P.
    Journal: Mini Rev Med Chem; 2020; 20(14):1403-1435. PubMed ID: 31884928.
    Abstract:
    Acetylcholinesterase inhibitors are the most promising therapeutics for Alzheimer's disease treatment as these prevent the loss of acetylcholine and slows the progression of the disease. The drugs approved for the management of Alzheimer's disease by the FDA are acetylcholinesterase inhibitors but are associated with side effects. Consistent and stringent efforts by the researchers with the help of computational methods opened new ways of developing novel molecules with good acetylcholinesterase inhibitory activity. In this manuscript, we reviewed the studies that identified the essential structural features of acetylcholinesterase inhibitors at the molecular level as well as the techniques like molecular docking, molecular dynamics, quantitative structure-activity relationship, virtual screening, and pharmacophore modelling that were used in designing these inhibitors.
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