Identification of stigmasterol derived AChE inhibitors for Alzheimer’s disease using high throughput virtual screening and molecular dynamics simulations

Alzheimer's disease (AD), a progressive neurodegenerative disorder, poses a significant global health burden due to its intricate pathology and the absence of curative treatments. Current therapies primarily offer symptomatic relief, often with limited efficacy and complications, thereby underscoring the urgent need for innovative, safer, and more effective interventions. Stigmasterol, a plant-derived phytosterol, has demonstrated neuroprotective properties, including anti-inflammatory and antioxidant effects, which positions this sterol as a compelling candidate for further investigation in AD treatment. In this investigation, high-throughput virtual screening of 972 stigmasterol analogs (SAs) was conducted to identify potential acetylcholinesterase (AChE) inhibitors, followed by ADMET filtering, molecular dynamics (MD) simulations, MM/GBSA free binding energy estimations, and DFT calculations. Three lead compounds, including SA4 (-10.9 kcal/mol), SA12 (-10.6 kcal/mol), and SA15 (-10.5 kcal/mol), demonstrated superior binding affinities compared to stigmasterol (-9.6 kcal/mol) and the control drug donepezil (-8.6 kcal/mol). Docking interaction analysis revealed strong binding by hydrogen bonds and hydrophobic interactions, whereas pharmacokinetic, pharmacodynamic, and toxicity assessments confirmed the favorable characteristics of these compounds. MD simulations (200 ns) demonstrated the structural compactness of the compounds, which was further supported by principal component analysis and Gibbs free energy landscape experiments. MM/GBSA identified SA4 as the most potent analog (-82.21 kcal/mol), followed by SA15 (-80.40 kcal/mol) and SA12 (-69.72 kcal/mol). A DFT-based molecular reactivity analysis revealed decreased reactivity and increased kinetic stability of the lead candidates in their transition from free to bound states. These findings provide insights into the therapeutic potential of stigmasterol analogs as AChE inhibitors, thus offering the groundwork for in vivo and in vitro validation for advancing AD treatment.

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Journal
Scientific Reports
Published
2025-10-21
DOI
https://doi.org/10.1038/s41598-025-20527-3
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Identification of stigmasterol derived AChE inhibitors for Alzheimer’s disease using high throughput virtual screening and molecular dynamics simulations

M. Ajmal Ali, Ali S. Alqahtani, Nahid Sultana, Sheikh Sunzid Ahmed et al.
Scientific Reports
Computational Drug Discovery Methods
article

Identification of stigmasterol derived AChE inhibitors for Alzheimer’s disease using high throughput virtual screening and molecular dynamics simulations

M. Ajmal Ali, Ali S. Alqahtani, Nahid Sultana, Sheikh Sunzid Ahmed, Md Tabish Rehman, Mohamed Bouhrim, Joongku Lee, M Oliur Rahman
article en

Abstract

Alzheimer's disease (AD), a progressive neurodegenerative disorder, poses a significant global health burden due to its intricate pathology and the absence of curative treatments. Current therapies primarily offer symptomatic relief, often with limited efficacy and complications, thereby underscoring the urgent need for innovative, safer, and more effective interventions. Stigmasterol, a plant-derived phytosterol, has demonstrated neuroprotective properties, including anti-inflammatory and antioxidant effects, which positions this sterol as a compelling candidate for further investigation in AD treatment. In this investigation, high-throughput virtual screening of 972 stigmasterol analogs (SAs) was conducted to identify potential acetylcholinesterase (AChE) inhibitors, followed by ADMET filtering, molecular dynamics (MD) simulations, MM/GBSA free binding energy estimations, and DFT calculations. Three lead compounds, including SA4 (-10.9 kcal/mol), SA12 (-10.6 kcal/mol), and SA15 (-10.5 kcal/mol), demonstrated superior binding affinities compared to stigmasterol (-9.6 kcal/mol) and the control drug donepezil (-8.6 kcal/mol). Docking interaction analysis revealed strong binding by hydrogen bonds and hydrophobic interactions, whereas pharmacokinetic, pharmacodynamic, and toxicity assessments confirmed the favorable characteristics of these compounds. MD simulations (200 ns) demonstrated the structural compactness of the compounds, which was further supported by principal component analysis and Gibbs free energy landscape experiments. MM/GBSA identified SA4 as the most potent analog (-82.21 kcal/mol), followed by SA15 (-80.40 kcal/mol) and SA12 (-69.72 kcal/mol). A DFT-based molecular reactivity analysis revealed decreased reactivity and increased kinetic stability of the lead candidates in their transition from free to bound states. These findings provide insights into the therapeutic potential of stigmasterol analogs as AChE inhibitors, thus offering the groundwork for in vivo and in vitro validation for advancing AD treatment.

Scientific ReportsVol. 15(1)
Chungnam National University (KR), University of Dhaka (BD), Université de Lille (FR), Dhaka International University (BD), King Saud University (SA), Jagannath University (BD)
King Saud University
Openalex Percentile: Top 68%
Computational Drug Discovery Methods
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