Evidence map›Paper›PMID 40607814›Full record

ArticleFuture medicinal chemistry2025

Novel thiazole-thiadiazole as a potential anti-Alzheimer agent: synthesis and molecular interactions via an in silico study.

Shoaib Khan, Tayyiaba Iqbal, Rafaqat Hussain, Zanib Fiaz, Magda H Abdellattif, Hamdy Kashtoh

Abstract read
In one paragraph

Article in Future medicinal chemistry, 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

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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. 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

6 authors.

Shoaib KhanDepartment of Chemistry, Abbottabad University of Science and Technology, Abbottabad, Pakistan.
Tayyiaba IqbalDepartment of Chemistry, Abbottabad University of Science and Technology, Abbottabad, Pakistan.
Rafaqat HussainDepartment of Chemistry, Hazara Univeristy, Mansehra, Pakistan.
Zanib FiazDepartment of Chemistry, Abbottabad University of Science and Technology, Abbottabad, Pakistan.
Magda H AbdellattifChemistry Department, Sciences College, University College of Taraba, Taif University, P.O. Box 11099, 21944, Saudi Arabia.
Hamdy KashtohDepartment of Biotechnology, Yeungnam University, Gyeongsan, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aimed to synthesize and evaluate a series of thiazole-derived thiadiazole-based Schiff base derivatives (1-16) for their potential anti-Alzheimer and antioxidant activities, with a focus on identifying promising drug-like candidates. MATERIALS &

methodsThe synthesized compounds were structurally characterized using

resultsAmong the tested compounds, derivative 8, bearing a trifluoromethyl substitution, showed the most potent activity against Alzheimer-related enzymes, surpassing the standard drug donepezil. Derivatives 3, 7, and 12 also exhibited significant bioactivity. Docking studies confirmed strong binding affinities of the active compounds to key residues within the enzyme active sites. ADMET analysis indicated favorable drug-likeness and safety profiles.

conclusionsThe synthesized Schiff-base derivatives, especially compound 8, demonstrated strong anti-Alzheimer and antioxidant activity. These findings suggest their potential as lead candidates for further development of multifunctional therapeutics targeting neurodegenerative disorders.

Indexed as

Alzheimer DiseaseAntioxidantsCholinesterase InhibitorsThiadiazolesThiazolesAcetylcholinesteraseAnimalsBiphenyl CompoundsButyrylcholinesteraseHumansMolecular Docking SimulationMolecular StructurePicratesStructure-Activity Relationship1,1-diphenyl-2-picrylhydrazylAcetylcholinesteraseAntioxidantsBiphenyl CompoundsButyrylcholinesteraseCholinesterase InhibitorsPicratesThiadiazolesThiazolesADMETAlzheimer’s diseasemolecular dockingNMRsynthesisThiazole

Identifiers

PMID40607814
PMCPMC12296076

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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.