Evidence map›Paper›PMID 42762305›Full record

ArticleNaunyn-Schmiedeberg's archives of pharmacology2026

Integration of network pharmacology, structure-based pharmacophore modeling, DFT, molecular docking, and molecular dynamics simulations to identify multi-target small molecule inhibitors against Alzheimer's disease.

Daniel O Onwu, Rademene S Oria, Yemi A Adekunle, Moses Dele Adams, Onuabuchi N Ani, Habiganuchi Adele, Terhide Samuel Tyohemba, Ejovi Osioma, Biodun Mayowa Popoola, Oluwafemi Shittu Bakare and 2 more

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Article in Naunyn-Schmiedeberg's archives of pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Daniel O OnwuDepartment of Medical Biochemistry, Faculty of Basic Medical Sciences, University of Cross River State, Okuku Campus, PMB 1123, Calabar, Cross River State, Nigeria. danielonwu163@gmail.com.
Rademene S OriaDepartment of Human Anatomy, Faculty of Basic Medical Sciences, University of Cross River State, Okuku Campus, PMB 1123, Calabar, Cross River State, Nigeria.
Yemi A AdekunleDepartment of Pharmaceutical and Medicinal Chemistry, College of Pharmacy, Afe Babalola University, Ado-Ekiti, Ekiti State, Nigeria. adekunleya@abuad.edu.ng.ORCID https://orcid.org/0000-0002-9392-3925
Moses Dele AdamsClinical Biochemistry, Phytopharmacology and Biochemical Toxicology Research Laboratory (CBPBT-RL), Department of Biochemistry, Baze University, Abuja, Nigeria.
Onuabuchi N AniDepartment of Applied Biochemistry, Faculty of Biological Sciences, Enugu State University of Science and Technology, Enugu, Enugu State, Nigeria.
Habiganuchi AdeleDepartment of Biochemistry, Faculty of Science, University of Port Harcourt, Port Harcourt, Rivers State, Nigeria.
Terhide Samuel TyohembaDepartment of Biological Science, Federal University Kashere, P.M.B 0182, Kashere, Gombe State, Nigeria.
Ejovi OsiomaDepartment of Biochemistry, Faculty of Science, Federal University Otuoke, Otuoke, Bayelsa State, Nigeria.
Biodun Mayowa PopoolaDepartment of Biochemistry, College of Basic Applied and Health Sciences, Glorious Vision University, Ogwa, Edo State, Nigeria.
Oluwafemi Shittu BakareDepartment of Biochemistry, Faculty of Science, Adekunle Ajasin University, Akungba-Akoko, Ondo State, Nigeria.
Victoria Edem OkonDepartment of Physiology, Faculty of Basic Medical Sciences, University of Cross River State, Okuku Campus, PMB 1123, Calabar, Cross River State, Nigeria.
Chika Collins MaxwellDepartment of Chemistry, Faculty of Science, University of Lagos, Akoka-Yaba, Lagos, Lagos State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a progressive neurodegenerative disorder associated with cognitive impairment, synaptic malfunction, oxidative stress, cholinergic deficits, and a lack of effective disease-modifying therapeutics. In this study, we integrated in silico approaches with network pharmacology to identify novel multi-target ligands against three key AD-associated proteins: acetylcholinesterase (AChE), protein kinase B (AKT1), and monoamine oxidase B (MAO-B). Structure-based e-pharmacophore modeling and virtual screening were conducted using Pharmit, a large compound library from the ZINC and COCONUT databases, followed by stringent ADMET filtering to obtain drug-like candidates. Network pharmacology analysis identified AKT1 as the best hub gene between predicted hit compounds and AD-associated gene-enriched pathways, such as PI3K-Akt, FoxO, calcium, and cAMP signaling pathways. Four hits (1-4) were screened for binding affinity evaluation using molecular docking, followed by MM-GBSA, and molecular dynamics (MD) simulations. Hit1 (N-(2-(1H-indol-3-yl)ethyl)-7-hydroxy-5,6-dimethoxy-[1,2,4]triazolo[4,3-a]quinazoline-3-carboxamide) (ZINC000033435965) demonstrated the strongest binding affinities across all complexes, with docking scores of - 11.4, - 11.8, and - 12.1 kcal/mol for hAChE, AKT1, and MAO-B, respectively. MD simulations over 100 ns for Hit1 revealed stable interaction as described by RMSD, RMSF, Rg, SASA, and HB profiles. E-pharmacophore and validation demonstrated strong predictive performance across the complexes, especially for AKT1 and MAO-B with high enrichment factors and ROC-AUC values (0.95 and 0.94). Additionally, DFT analysis of Hit1 revealed a favorable electronic stability energy (- 1479.283992 Eh). ADMET profiling predicted favorable oral bioavailability, BBB permeability, drug-likeness, and low predicted toxicity. The findings of this study suggest that Hit1 could be a promising multi-target molecule capable of modulating cholinergic transmission, neuronal survival pathways, and oxidative stress in AD. Experimental validation, including in vitro enzymatic assays and in vivo evaluations, is essential to further establish the therapeutic potential of Hit1.

Indexed as

Alzheimer’s diseaseDrug discoveryMolecular dockingMolecular dynamics simulationNetwork pharmacologyVirtual screening

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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.