In Silico Discovery and Predictive Modeling of Novel Acetylcholinesterase (AChE) Inhibitors for Alzheimer's Treatment.
Med Chem
; 2024 May 27.
Article
in En
| MEDLINE
| ID: mdl-38803179
ABSTRACT
INTRODUCTION:
Alzheimer's disease, akin to coronary artery disease of the heart, is a progressive brain disorder driven by nerve cell damage.METHOD:
This study utilized computational methods to explore 14 anti-acetylcholinesterase (AChE) derivatives (1 ̶ 14) as potential treatments. By scrutinizing their interactions with 11 essential target proteins (AChE, Aß, BChE, GSK-3ß, MAO B, PDE-9, Prion, PSEN-1, sEH, Tau, and TDP-43) and comparing them with established drugs such as donepezil, galantamine, memantine, and rivastigmine, ligand 14 emerged as notable. During molecular dynamics simulations, the protein boasting the strongest bond with the critical 1QTI protein and exceeding drug-likeness criteria also exhibited remarkable stability within the enzyme's pocket across diverse temperatures (300 ̶ 320 K). In addition, we utilized density functional theory (DFT) to compute dipole moments and molecular orbital properties, including assessing the thermodynamic stability of AChE derivatives.RESULT:
This finding suggests a welldefined, potentially therapeutic interaction further supported by theoretical and future in vitro and in vivo investigations.CONCLUSION:
Ligand 14 thus emerges as a promising candidate in the fight against Alzheimer's disease.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Language:
En
Journal:
Med Chem
/
Medicinal chemistry (Hilversum. Online)
Journal subject:
QUIMICA
Year:
2024
Document type:
Article
Country of publication: