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Record W4416982112 · doi:10.5267/j.ccl.2025.9.003

Design, synthesis, and antidiabetic evaluation of novel 1,3-di(1,3,4-oxadiazol-2-yl)benzene derivatives as potent pancreatic α-amylase inhibitors: In vitro and in silico approaches

2025· article· W4416982112 on OpenAlexvenueno aff
Assiya Atif, Mohamed Marghich, Nor Nabil, Abouelhaoul El Alami, Nour Elhouda Daoudi, Tarik Harit, Fatima Youssoufi, Mohammed Salah, Abdelali Bitar, Houssine Ait Sir

Bibliographic record

VenueCurrent Chemistry Letters · 2025
Typearticle
Language
FieldMedicine
TopicNatural Antidiabetic Agents Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIn silicoIn vitroDocking (animal)IC50Small moleculeMolecular modelPotencyEnzyme

Abstract

fetched live from OpenAlex

The synthesis of a new family of 1,3-di(1,3,4-oxadiazol-2-yl)benzene derivatives is reported. Their structures were characterized using standard spectroscopic techniques such FT-IR, ¹H-NMR, ¹³C-NMR spectroscopies and mass spectrometry. The antidiabetic potential of these synthetic molecules was evaluated by determining their in vitro inhibitory activity against pancreaticα-amylase enzymes. In addition, in silico molecular docking and pharmacokinetic simulations were performed to examine the compounds binding interactions with the enzyme active site and to assess their ADMET properties. Compared the used positive control, the obtained results show that all 1,3-di(1,3,4-oxadiazol-2-yl)benzene derivatives demonstrated a good potency to inhibit the α-amylase enzyme, Especially, the 2,2'-(1,3-phenylebis(1,3,4-oxadiazole-5,2-diyl))dianiline (5d) with IC50 of 0.393 mg/mL. Furthermore, the experimental findings were supported by molecular dynamics, docking and ADMET studies. The obtained data emphasizes compound 5d as potential as safe and effective therapeutic agents targeting the pancreatic α-amylase enzyme.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.056
GPT teacher head0.292
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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