Examining the Benefits of the Boron-Based Mechanism of Action and Physicochemical Properties of Tavaborole in the Treatment of Onychomycosis
Bibliographic record
Abstract
Onychomycosis is a fungal infection of the nail primarily caused by the dermatophytes Trichophyton rubrum and Trichophyton mentagrophytes. The topical-based treatment of onychomycosis remains a challenge because of the difficulty associated with penetrating the dense, protective structure of the keratinized nail plate. Tavaborole is a novel small-molecule antifungal agent recently approved in the United States for the topical treatment of toenail onychomycosis. The low molecular weight, slight water solubility, and boron chemistry of tavaborole maximize nail penetration after topical application, allowing for effective targeting of the infection in the nail bed. The efficacy of tavaborole is associated with its novel mechanism of action, whereby it inhibits the fungal leucyl-tRNA synthetase (LeuRS) enzyme. Because LeuRS is an essential component in fungal protein synthesis, inhibition of LeuRS ultimately leads to fungal cell death. Tavaborole is the first boron-based antifungal medication approved for the treatment of mild-to-moderate onychomycosis and presents patients with a new topical option. Previously, ciclopirox and efinaconazole were the only approved topical treatments for onychomycosis. This article details the properties that are at the core of the clinical benefits associated with tavaborole.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".