Estimating AChE inhibitors from MCE database by machine learning and atomistic calculations.

J Mol Graph Model

Laboratory of Biophysics, Institute for Advanced Study in Technology, Ton Duc Thang University, Ho Chi Minh City, Viet Nam; Faculty of Pharmacy, Ton Duc Thang University, Ho Chi Minh City, Viet Nam. Electronic address:

Published: January 2025

AI Article Synopsis

  • Acetylcholinesterase (AChE) is a key target for Alzheimer's disease treatment, and inhibiting it could help prevent the disease.
  • A machine-learning model, along with molecular docking and dynamics, was used to identify potential AChE inhibitors from the MedChemExpress database.
  • Two specific compounds, with PubChem IDs 130467298 and 132020434, were found to effectively inhibit AChE according to the simulations and ML predictions.*

Article Abstract

Acetylcholinesterase (AChE) is one of the most successful targets for the treatment of Alzheimer's disease (AD). Inhibition of AChE can result in preventing AD. In this context, the machine-learning (ML) model, molecular docking, and molecular dynamics calculations were employed to characterize the potential inhibitors for AChE from MedChemExpress (MCE) database. The trained ML model was initially employed for estimating the inhibitory of MCE compounds. Atomistic simulations including molecular docking and molecular dynamics simulations were then used to confirm ML outcomes. In particular, the physical insights into the ligand binding to AChE were clarified over the calculations. Two compounds, PubChem ID of 130467298 and 132020434, were indicated that they can inhibit AChE.

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http://dx.doi.org/10.1016/j.jmgm.2024.108906DOI Listing

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Estimating AChE inhibitors from MCE database by machine learning and atomistic calculations.

J Mol Graph Model

January 2025

Laboratory of Biophysics, Institute for Advanced Study in Technology, Ton Duc Thang University, Ho Chi Minh City, Viet Nam; Faculty of Pharmacy, Ton Duc Thang University, Ho Chi Minh City, Viet Nam. Electronic address:

Article Synopsis
  • Acetylcholinesterase (AChE) is a key target for Alzheimer's disease treatment, and inhibiting it could help prevent the disease.
  • A machine-learning model, along with molecular docking and dynamics, was used to identify potential AChE inhibitors from the MedChemExpress database.
  • Two specific compounds, with PubChem IDs 130467298 and 132020434, were found to effectively inhibit AChE according to the simulations and ML predictions.*
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