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Record W4410904701 · doi:10.5267/j.ccl.2025.2.002

New phosphonylation route of a series of 2-AlkylBenzimidazole derivatives: Synthesis, characterization, biological evaluation, ADMET prediction, molecular docking and DFT studies

2025· article· en· W4410904701 on OpenAlexvenueno aff
Fatima Youssoufi, Manal Zefzoufi, Soukaina Elorchi, Abouelhaoul El Alami, Assiya Atif, Mohammed Salah, Rabiaa Fdil, Mustapha Soufyane, Hamid Sdassi

Bibliographic record

VenueCurrent Chemistry Letters · 2025
Typearticle
Languageen
FieldChemistry
TopicSynthesis and Characterization of Heterocyclic Compounds
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryDocking (animal)Series (stratigraphy)StereochemistryCombinatorial chemistryComputational chemistryComputational biology

Abstract

fetched live from OpenAlex

A series of new benzimidazole phosphonate derivatives was obtained via nucleophilic addition of triethyl phosphite to the imine of the imidazole subgroup under solvent-free conditions. Structures of the formed products were confirmed using spectroscopic data (ATR-FTIR, 1H-NMR, 13C-NMR, and MS). The antimicrobial profiles of the synthesized compounds were examined, and promising activities against Staphylococcus aureus, Escherichia coli, Pseudomonas aeruginosa, and Candida albicans were revealed, showing significant inhibition zone diameters ranging from 13 to 17 mm. Alongside these experimental findings, in silico investigations were conducted using ADMET characteristics, which showed a positive pharmacokinetic profile and provided valuable information on potential interactions with target molecules. Besides, docking studies against tested microorganisms revealed further insights on the compounds’ binding interactions with the active sites. Finally, DFT analysis was performed to shed light on the synthesis of novel molecules.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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

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 head0.029
GPT teacher head0.285
Teacher spread0.257 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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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