Evidence map›Paper›PMID 41951832›Full record

ArticleJournal of computer-aided molecular design2026

Single nucleotide polymorphisms affecting galantamine binding to acetylcholinesterase in Alzheimer's disease: a structural bioinformatics study.

Nadia Islam, Betül Akçesme

Abstract read
In one paragraph

Article in Journal of computer-aided molecular design, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Nadia IslamDepartment of Genetics and Bioengineering, International University of Sarajevo, Sarajevo, Bosnia and Herzegovina.ORCID 0009-0007-3920-1140
Betül AkçesmeHamidiye Faculty of Medicine, Department of Medical Biology, University of Health Sciences, Üsküdar, İstanbul, Turkey. betul.akcesme@sbu.edu.tr.ORCID 0000-0002-3730-9963

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Galantamine, an acetylcholinesterase (AChE) inhibitor used for symptomatic treatment of Alzheimer's disease (AD), shows substantial inter-individual variability in clinical response. Missense single nucleotide polymorphisms (SNPs) within the AChE active-site gorge may modulate inhibitor recognition. In this computational study, binding residues were defined from human AChE inhibitor co-crystal structures and cross-referenced with dbSNP missense variation, followed by in-silico predictions of variant impact, evolutionary conservation and folding stability, and assessment of ligand engagement by docking and molecular dynamics (MD) with MM/GBSA binding-energy estimation. Using complexes containing galantamine (GNT) and a donepezil-like ligand (E20), 11 of 807 AChE missense variants overlapped binding-site residues, highlighting Phe294 (UniProt Phe326) and His447 (UniProt His479). ConSurf classified His447 as highly conserved, and MUpro predicted decreased folding stability for His447 substitutions. SwissDock docking indicated that His447Gln retains a plausible GNT binding pose and yielded the least favourable docking score among the tested variants, consistent with a potential reduction in binding strength. MD simulations (200 ns) of wild-type and His447Gln AChE-GNT complexes supported preserved global structural integrity of the complex over the simulated timescale, while indicating local remodelling of the GNT binding microenvironment. MM/GBSA estimates from terminal snapshots suggested a modestly less favourable theoretical binding free energy for His447Gln relative to wild-type (approximately 2.0 kcal mol⁻¹). Given that His447 is the catalytic triad histidine, such substitutions may have consequences for catalysis in addition to inhibitor binding; these in-silico findings require experimental validation using site-directed mutagenesis with kinetic and binding assays.

Indexed as

AcetylcholinesteraseAlzheimer DiseaseCholinesterase InhibitorsGalantaminePolymorphism, Single NucleotideBinding SitesCatalytic DomainComputational BiologyHumansLigandsMolecular Docking SimulationMolecular Dynamics SimulationMutation, MissenseProtein BindingAcetylcholinesteraseCholinesterase InhibitorsGalantamineLigandsAcetylcholinesteraseAlzheimer’s diseaseGalantamineMolecular dynamics simulationsSNP

Identifiers

PMID41951832
PMCPMC13061798

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.