New bis(thieno[2,3-<i>b</i>]pyridine) hybrids linked to arene units as potential bacterial biofilm and MRSA inhibitors
Bibliographic record
Abstract
Using sonication and mediated by piperazine, new arene-linked bis(thieno[2,3- b]pyridine) hybrids were efficiently prepared in this study. The target hybrids were prepared by reacting bis(α-haloketone) with two equivalents of the appropriate pyridine-2(1H)-thiones in the presence of 1.4 equivalents of piperazine. The reaction mixture was subjected to sonication at 60 °C for 30–40 min to produce the desired products in 88%–95% yields. When tested against six different ATCC bacterial strains, the new products demonstrated a wide range of antibacterial activity. The 4-(4-methoxyphenyl)-linked hybrids 1i and 1j, attached to 6-(4-methoxyphenyl) and 6-( p-tolyl) units, respectively, had the best efficacy against Staphylococcus aureus, Enterococcus faecalis, Escherichia coli, and Pseudomonas aeruginosa strains. Both hybrids showed more effective potency than the reference ciprofloxacin with MIC and MBC values in the ranges from 2.0 to 2.1, and 4.1 to 4.2 µM, respectively. Additionally, hybrids 1i and 1j demonstrated stronger efficacy than linezolid with MIC values ranging from 2.0 to 4.2 µM, and MBC values ranging from 8.2 to 8.5 µM, respectively, against the MRSA ATCC:33 591 and ATCC:43 300 strains. Furthermore, hybrids 1i and 1j showed inhibitory antibacterial biofilm activity comparable to the standard ciprofloxacin. They had IC50 values ranging from 3.8 to 4.6 µM against S. aureus, E. faecalis, E. coli, and P. aeruginosa strains. The cytotoxicity of hybrids 1i and 1j against the human breast epithelial cell line MCF-10A lends credence to both hybrids’ potential as safe antibacterial agents.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".