ArticleFrontiers in pharmacology2023
Targeting NMDA receptor in Alzheimer's disease: identifying novel inhibitors using computational approaches.
Article in Frontiers in pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 37 citations in OpenAlex.
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- Alpha-Ketoglutarate Ameliorates Synaptic Plasticity Deficits in APP/PS1 Mice Model of Alzheimer's Disease.Aging cell · 2025Article
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- GC-MS profiling, in vitro and in silico antibacterial and antioxidant potential of crude secondary metabolites of an endophytic bacterium isolated from Enhydra fluctuans lour.Scientific reports · 2025Article
- Neuroprotective effects of acetophenone dimers from Acronychia pedunculata on human neuroblastoma SH-SY5Y cells in glutamate-induced apoptosis.Journal of natural medicines · 2025Article
- In vitro and in silico evaluation of fluorinated diphenylamine chalcone derivatives as potential antimalarial and anticancer agents.Scientific reports · 2025Article
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- A Comprehensive Analysis of Fibromyalgia and the Role of the Endogenous Opioid System.Biomedicines · 2025Review
- Glutamate: Molecular Mechanisms and Signaling Pathway in Alzheimer's Disease, a Potential Therapeutic Target.Molecules (Basel, Switzerland) · 2024Review
- From Plaques to Pathways in Alzheimer's Disease: The Mitochondrial-Neurovascular-Metabolic Hypothesis.International journal of molecular sciences · 2024Review
- Natural compounds from herbs and nutraceuticals as glycogen synthase kinase-3β inhibitors in Alzheimer's disease treatment.CNS neuroscience & therapeutics · 2024Review
- Emerging evidence that ginseng components improve cognition in subjective memory impairment, mild cognitive impairment, and early Alzheimer's disease dementia.Journal of ginseng research · 2024Review
- Cognitive Decline: Current Intervention Strategies and Integrative Therapeutic Approaches for Alzheimer's Disease.Brain sciences · 2024Review
- A computational and machine learning approach to identify GPR40-targeting agonists for neurodegenerative disease treatment.PloS one · 2024Article
- Identification of TBK1 inhibitors against breast cancer using a computational approach supported by machine learning.Frontiers in pharmacology · 2024Article
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Authors and funding
7 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The glutamate-gated ion channels known as N-methyl-d-aspartate receptors (NMDARs) are important for both normal and pathological brain function. Subunit-selective antagonists have high therapeutic promise since many pathological conditions involve NMDAR over activation, although few clinical successes have been reported. Allosteric inhibitors of GluN2B-containing receptors are among the most potential NMDAR targeting drugs. Since the discovery of ifenprodil, a variety of GluN2B-selective compounds have been discovered, each with remarkably unique structural motifs. These results expand the allosteric and pharmacolog-ical spectrum of NMDARs and provide a new structural basis for the development of next-generation GluN2B antagonists that have therapeutic potential in brain diseases. Small molecule therapeutic inhibitors targeting NMDA have recently been developed to target CNS disorders such as Alzheimer's disease. In the current study, a cheminformatics method was used to discover potential antagonists and to identify the structural requirements for Gly/NMDA antagonism. In this case we have created a useful pharmacophore model with solid statistical values. Through pharmacophore mapping, the verified model was used to filter out virtual matches from the ZINC database. Assessing receptor-ligand binding mechanisms and affinities used molecular docking. To find the best hits, the GlideScore and the interaction of molecules with important amino acids were considered essential features. We found some molecular inhibitors, namely, ZINC13729211, ZINC07430424, ZINC08614951, ZINC60927204, ZINC12447511, and ZINC18889258 with high binding affinity using computational methods. The molecules in our studies showed characteristics such as good stability, hydrogen bonding and higher binding affinities in the solvation-based assessment method than ifenprodil with acceptable ADMET profile. Moreover, these six leads have been proposed as potential new perspectives for exploring potent Gly/NMDA receptor antagonists. In addition, it can be tested in the laboratory for potential therapeutic strategies for both
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