Evidence map›Paper›PMID 41417176›Full record

ArticleDie Naturwissenschaften2025

Synthesis, SAR, and computational evaluation of novel thiazolidinone-based antidiabetic hybrids: insights from enzyme kinetics and DFT studies.

Abdul Hafeez, Shoaib Khan, Tayyiaba Iqbal, Eman Alzahrani, Faez Falah Alshehri, Zafer Saad Al Shehri, Sobhi M Gomha, Magdi E A Zaki

Abstract read
PubMed Publisher
In one paragraph

Article in Die Naturwissenschaften, 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. 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

8 authors.

Abdul HafeezDepartment of Chemistry, Abbottabad University of Science and Technology, Abbottabad, 22500, Pakistan.
Shoaib KhanDepartment of Chemistry, Abbottabad University of Science and Technology, Abbottabad, 22500, Pakistan. shoaibkhanswati@gmail.com.
Tayyiaba IqbalDepartment of Chemistry, Abbottabad University of Science and Technology, Abbottabad, 22500, Pakistan.
Eman AlzahraniDepartment of Chemistry, College of Science, Taif University, PO Box 11099, 21944, Taif, Saudi Arabia.
Faez Falah AlshehriDepartment of Medical Laboratories, College of Applied Medical Sciences, Shaqra University, 17464, Ad Dawadimi, Saudi Arabia.
Zafer Saad Al ShehriCollege of Applied Medical Sciences, Shaqra University, Ad Dawadimi, Saudi Arabia.
Sobhi M GomhaDepartment of Chemistry, Faculty of Science, Islamic University of Madinah, 42351, Madinah, Saudi Arabia.
Magdi E A ZakiDepartment of Chemistry, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), 11623, Riyadh, Saudi Arabia. mezaki@imamu.edu.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to design and synthesize novel benzothiazole based thiazolidinone derivatives as potential inhibitors of carbohydrate-hydrolyzing enzymes, addressing the urgent need for effective therapeutic agents to manage type 2 diabetes mellitus through enzymatic regulation. All the novel benzothiazole based thiazolidinone derivatives were investigated against α-amylase and α-glucosidase with significant potential for treating a common metabolic problem, diabetes mellitus. The synthesis of these derivatives was confirmed using

Indexed as

Hypoglycemic AgentsThiazolidinesalpha-Amylasesalpha-GlucosidasesDensity Functional TheoryGlycoside Hydrolase InhibitorsKineticsMolecular Docking SimulationStructure-Activity Relationshipalpha-Amylasesalpha-GlucosidasesGlycoside Hydrolase InhibitorsHypoglycemic AgentsThiazolidinesBenzothiazole-ThiazolidinoneDFT and ADMETDiabetes mellitusMolecular docking

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.