Antimicrobial Efficacy of Photocaged β‐Lapachone in <i>Bacillus subtilis</i> Biofilms
Bibliographic record
Abstract
Abstract With the rise of antibiotic resistance within clinical settings, combating the growth of microbial biofilms presents a unique challenge. Biofilm‐inhabiting bacteria are embedded within a self‐produced, protective matrix, which can reduce the efficacy of treatment. The naturally derived product β‐lapachone is an appealing therapeutic agent that has been reported to inhibit biofilm growth. However, its off‐target toxicity and poor metabolic stability pose a significant hurdle for its application in vivo. Using a photo‐pharmacological approach via a coumarin‐based photocage, the reactivity of β‐lapachone can be tuned so it only becomes active once the photocage is removed. Here we report both the photo‐uncaging efficiency and the effective inhibition concentration of photocaged β‐lapachone within model Bacillus subtilis biofilms. Additionally, the mechanism of action is analyzed with results supporting catalase inhibition. This novel light‐activatable anti‐microbial has potential applications in medical settings to inhibit biofilm growth and provide synergistic treatment with traditional antibiotics.
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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".