{"title":"Computational Design and Assessment of Bi‐Heterocyclic Donepezil Derivatives as Enhanced Acetylcholinesterase Inhibitors","authors":"Sunandini Swain, Anik Sen, Atanu K. Metya","doi":"10.1002/adts.202500715","DOIUrl":null,"url":null,"abstract":"Alzheimer's Disease (AD), a prevalent neurodegenerative disorder, is characterized by cognitive decline and neuronal death. Acetylcholinesterase (AChE) remains a primary therapeutic target, with donepezil as a widely used drug. However, its limited efficacy prompts the search for improved derivatives. This raises a key question: Can structural modifications to donepezil lead to analogues with improved therapeutic potential against AD? In this study, novel donepezil analogues are designed by replacing its indanone moiety with bi‐heterocyclic scaffolds to enhance binding affinity, pharmacokinetic properties, and anti‐AD activity. Molecular docking is used to identify compounds with favorable AChE interactions, followed by pharmacokinetic profiling for drug‐likeness and blood–brain barrier permeability. Molecular dynamics simulations further evaluate binding stability and free energy. Among the designed compounds, AS3 (indole‐based), AS4 (benzofuran‐based), and AS8 (coumarin‐based) showed enhanced AChE affinity and stable interactions compared to donepezil. AS4 exhibited the highest binding affinity, while AS8 demonstrated superior reactivity and chemical stability. Additionally, a new compound is designed by modifying both the indanone and piperidine moieties and introducing fluorine functionalization on the benzyl group. This compound demonstrated significantly improved binding affinity toward AChE, highlighting a promising new scaffold for further development.","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"252 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Theory and Simulations","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/adts.202500715","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Alzheimer's Disease (AD), a prevalent neurodegenerative disorder, is characterized by cognitive decline and neuronal death. Acetylcholinesterase (AChE) remains a primary therapeutic target, with donepezil as a widely used drug. However, its limited efficacy prompts the search for improved derivatives. This raises a key question: Can structural modifications to donepezil lead to analogues with improved therapeutic potential against AD? In this study, novel donepezil analogues are designed by replacing its indanone moiety with bi‐heterocyclic scaffolds to enhance binding affinity, pharmacokinetic properties, and anti‐AD activity. Molecular docking is used to identify compounds with favorable AChE interactions, followed by pharmacokinetic profiling for drug‐likeness and blood–brain barrier permeability. Molecular dynamics simulations further evaluate binding stability and free energy. Among the designed compounds, AS3 (indole‐based), AS4 (benzofuran‐based), and AS8 (coumarin‐based) showed enhanced AChE affinity and stable interactions compared to donepezil. AS4 exhibited the highest binding affinity, while AS8 demonstrated superior reactivity and chemical stability. Additionally, a new compound is designed by modifying both the indanone and piperidine moieties and introducing fluorine functionalization on the benzyl group. This compound demonstrated significantly improved binding affinity toward AChE, highlighting a promising new scaffold for further development.
期刊介绍:
Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including:
materials, chemistry, condensed matter physics
engineering, energy
life science, biology, medicine
atmospheric/environmental science, climate science
planetary science, astronomy, cosmology
method development, numerical methods, statistics