Quercetin Diacylglycoside Analogues Showing Dual Inhibition of DNA Gyrase and Topoisomerase IV as Novel Antibacterial Agents
Bibliographic record
Abstract
A structure-guided molecular design approach was used to optimize quercetin diacylglycoside analogues that inhibit bacterial DNA gyrase and topoisomerase IV and show potent antibacterial activity against a wide spectrum of relevant pathogens responsible for hospital- and community-acquired infections. In this paper, such novel 3,7-diacylquercetin, quercetin 6''-acylgalactoside, and quercetin 2'',6''-diacylgalactoside analogues of lead compound 1 were prepared to assess their target specificities and preferences in bacteria. The significant enzymatic inhibition of both Escherichia coli DNA gyrase and Staphylococcus aureus topoIV suggest that these compounds are dual inhibitors. Most of the investigated compounds exhibited pronounced inhibition with MIC values ranging from 0.13 to 128 μg/mL toward the growth of multidrug-resistant Gram-positive methicillin-resistant S. aureus, methicillin sensitive S. aureus, vancomycin-resistant enterococci (VRE), vancomycin intermediate S. aureus, and Streptococcus pneumoniae bacterial strains. Structure-activity relationship studies revealed that the acyl moiety was absolutely essential for activity against Gram-positive organisms. The most active compound 5i was 512-fold more potent than vancomycin and 16-32-fold more potent than 1 against VRE strains. It also has realistic in situ intestinal absorption in rats and showed very low acute toxicity in mice. So far, this compound can be regarded as a leading antibacterial agent.
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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".