DNase I Induced DNA Degradation is Inhibited by Neomycin.
Bibliographic record
Abstract
Preparations of antimicrobials from biotechnological sources containing nucleic acids may serve as vector for the dissemination of resistance genes. An essential prerequisite for the acquisition of a new resistance phenotype in a transformational scenario is the availability of physically intact DNA molecules capable of transforming competent microorganisms. DNA is thought to be an easy target for catabolic processes when present in the natural habitat of bacteria (e.g. gastrointestinal tract, soil) due to the overall presence of nucleolytic enzymes. Aminoglycoside antibiotics are known to display a strong affinity to nucleic acids rendering these compounds to be primary candidates for exerting DNA protective functions in the gastrointestinal tract when applied orally during antibiotic chemotherapy. Using a DNase I protection assay it could be demonstrated that neomycin B at a concentration of 2 mM completely inhibited degradation of plasmid DNA in vitro. No inhibition of degradation was observed with streptomycin and kanamycin and the non-aminoglycoside antibiotics oxytetracycline and ampicillin under identical assay conditions. Thus, neomycin preparations may be able to promote structural integrity of contaminating DNA-fragments in DNase-rich environments.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".