Evidence map›Paper›PMID 40388039›Full record

ArticleJournal of computer-aided molecular design2025

Targeting multiple pathways with virtual screening to identify the multi-target agent for Alzheimer's disease treatment.

Pitchayakarn Takomthong, Pornthip Waiwut, Chantana Boonyarat

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of computer-aided molecular design, 2025. 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

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

3 authors.

Pitchayakarn TakomthongFaculty of Pharmaceutical Sciences, Khon Kaen University, Khon Kaen, 40002, Thailand.
Pornthip WaiwutFaculty of Pharmaceutical Sciences, Ubon Ratchathani University, Ubon Ratchathani, 34190, Thailand.
Chantana BoonyaratFaculty of Pharmaceutical Sciences, Khon Kaen University, Khon Kaen, 40002, Thailand. chaboo@kku.ac.th.

Funding

NSRF via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation, Thailand B38G670003
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a chronic neurodegenerative disorder characterized by progressive memory loss, posing a significant risk, particularly within aging populations. Effective treatments to prevent or cure AD have remained elusive with current treatments only able to slow disease progression. Moreover, challenges in drug development for AD therapies are a complex pathology. A multi-target agent gained considerable interest over the single therapy in complex diseases, providing possible insights into therapeutic development by simultaneously targeting multiple pathological mechanisms. Virtual screening (VS) is a potent computational tool for identifying potential drug candidates from vast chemical databases, with subsequent molecular docking providing detailed insights into ligand-protein interactions. The ZINC database, housing millions of chemical compounds, serves as a valuable resource for screenings. Here, we conducted VS of compounds sourced from the ZINC database to identify potential multi-target AD agents. Through the VS analysis and subsequent in-vitro evaluations, our investigation identified one compound, ZINC006067856 (VS3), as a highly promising hit. This compound exhibited multifaceted actions against key AD pathological features, including cholinesterase inhibition, modulation of amyloid beta (Aβ) aggregation, and promotion of Aβ destabilization. Additionally, VS3 demonstrated neuroprotective effects against hydrogen peroxide-induced cell damage, further highlighting its potential as a comprehensive multi-targeted therapeutic agent for AD. Therefore, our findings suggested that VS3 held promise as a candidate for further preclinical and clinical investigations in the treatment of AD. Further elucidation of its mechanisms of action and comprehensive preclinical evaluations are required to assess its safety, efficacy, and therapeutic potential in improving AD clinical outcomes.

Indexed as

Alzheimer DiseaseCholinesterase InhibitorsNeuroprotective AgentsAcetylcholinesteraseAmyloid beta-PeptidesAnimalsDrug Evaluation, PreclinicalHumansLigandsMolecular Docking SimulationAcetylcholinesteraseAmyloid beta-PeptidesCholinesterase InhibitorsLigandsNeuroprotective AgentsAcetylcholinesteraseAmyloid betaButyrylcholinesteraseMolecular DockingMolecular dynamicsMultitarget compoundsNeuroprotection

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.