In Silico Discovery and Predictive Modeling of Novel Acetylcholinesterase (AChE) Inhibitors for Alzheimer's Treatment

Author:

Suha Humaera Noor1,Hossain Md. Shamim2,Rahman Shofiur3ORCID,Alodhayb Abdullah34ORCID,Hossain Md. Mainul2,Kawsar Sarkar M. A.5ORCID,Poirier Raymond6ORCID,Uddin Kabir M.2ORCID

Affiliation:

1. North South University Department of Biochemistry and Microbiology Dhaka Bangladesh

2. Department of Biochemistry and Microbiology, North South University, Bashundhara, Dhaka- 1229, Bangladesh

3. Biological and Environmental Sensing Research Unit, King Abdullah Institute for Nanotechnology, King Saud University, Riyadh 11451, Saudi Arabia

4. Research Chair for Tribology, Surface, and Interface Sciences, Department of Physics and Astronomy, College of Science, King Saud University, Riyadh 11451, Saudi Arabia

5. Lab of Carbohydrate and Nucleoside Chemistry, Department of Chemistry, University of Chittagong, Chittagong-4331, Bangladesh

6. Department of Chemistry, Memorial University, St. John's, Newfoundland, Canada A1B 3X5

Abstract

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, Aβ, BChE, GSK-3β, 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. objective: By scrutinizing their interactions with 11 essential target proteins (1GOS, 1H8F, 1IYT, 1QLX, 1QTI, 2KR6, 2MZ7, 4BDS, 4G2J, 5AKX, and 5MRG) 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. This finding suggests a well-defined, potentially therapeutic interaction further supported by theoretical and future in vitro and in vivo investigations. Ligand 14 thus emerges as a promising candidate in the fight against Alzheimer's disease.

Publisher

Bentham Science Publishers Ltd.

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