Antimicrobial Activity Derivatives 2H-pirano[2,3-c]piridines against Pathogens of Intestinal Yersiniosis
Bibliographic record
Abstract
Background: An important aspect in the treatment of patients with intestinal yersiniosis is the administration of effective antibiotic therapy. Performed research aimed to determine the spectrum and level of antimicrobial activity of 2H-pyrano[2,3- c]pyridine derivatives on the museum and clinical strains of gram-negative microorganisms Yersinia enterocolitica. Methodology: The object of the study was 28 synthetic derivatives of 2H-pyrano[2,3- c]pyridine. The compounds were studied according to their chemical structure. We used the method of serial dilutions in Muller-Hinton liquid nutrient medium with a museum’s and clinical strains of Y.enterocolitica. Results: Studies indicate the promise of further study of the properties of 2H- pyrono[2,3-c]pyridine to create an effective antimicrobial medicine. According to the results of studies on action of antimicrobial compounds synthesized on the basis of 2H-pyrano[2,3-с]pyridine derivatives, it was found that the MIC of compounds for all Y. enterocolitica strains was 100.0 μg/ml. The MBCC of most cultures of Yersinia (72.3 %) was 200.0 μg/ml. Compound 2{3} had a pronounced antiyersiniotic activity, the inhibitory effect of which was manifested at a concentration of 25.0 μg/ml. Retarding the growth of most Yersinia strains (95.3%) with a MIC of 50.0 μg/ml, the MIC of compounds ranged from 50.0 to 200.0 μg/ml. After statistical data processing, pyridine derivatives (compounds 2{3} and 3{5}) were identified, possessing an effective bacteriostatic and bactericidal effect on Y. enterocolitica strains. Conclusions: The results of the research showed a high antimicrobial activity of 2H- pyrano[2,3-c]pyridine derivatives. The highest activity against Y. enterocolitica was found for 2-N2-arylimino-5-hydroxy-methyl-8-methyl-2H-pyrano[2,3-c]pyridine-3-N1- aricarboxamide derivatives.
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 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) | 0.002 | 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".