Computational Studies of Multi-Target Directed Ligands Against Acetylcholinesterase, Butyrylcholinesterase and Amyloid Beta as Potential Anti-Alzheimer’s Agents
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Published:2024-01-03
Issue:
Volume:
Page:1-17
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ISSN:2737-4165
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Container-title:Journal of Computational Biophysics and Chemistry
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language:en
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Short-container-title:J. Comput. Biophys. Chem.
Author:
Maurya Neha1,
Gaddam Mareechika1,
Sharma Abha1ORCID
Affiliation:
1. Department of Medicinal Chemistry, National Institute of Pharmaceutical Education and Research, Bijnor-Sisendi Road, Near CRPF Base Camp, Sarojini Nagar, Lucknow, Uttar Pradesh 226301, India
Abstract
The designed flavone-hydroxypyridinone derivatives were screened in silico with the multiple targets of Alzheimer’s disease (AD) for their binding affinity. In this study, 29 novel derivatives of flavone-hydroxypyridinone were docked with acetylcholinesterase, butyrylcholinesterase and amyloid beta to determine their binding interactions on these targets of AD. The designed ligands were passed through the Lipinski and Veber filter, of which 29 ligands (8 from series 1 and 21 from series 2) obeyed the rule. All the molecules were docked with all the targets. To refine and confirm the docking study results, the stability of complexes is verified using molecular dynamics simulations. As our aim is to develop Multi-Target Direct Ligand (MTDL), one ligand from both the series has been selected as MTDL, is one of the best-docked ligands, which interacts with the protein through hydrogen bond, Vander Waal interactions, [Formula: see text]-[Formula: see text] stacking and [Formula: see text]-alkyl interactions. Where amino acid residues such as Leu17, Lys16, Phe20 and Ala21 play important role in receptor–ligand interactions. The studies imply that the best-docked MTDL complex has a good binding affinity which has been further confirmed by molecular dynamic simulations and different pharmacokinetics parameters calculated. The study provides guidance for the development of flavone-hydroxypyridinone derivatives as MTDL against AD.
Funder
Council of Science and Technology
Publisher
World Scientific Pub Co Pte Ltd
Subject
Computational Theory and Mathematics,Physical and Theoretical Chemistry,Computer Science Applications