TOP-N53: A Clinical Drug Candidate for the Treatment of Non-healing Wounds
Bibliographic record
Abstract
Chronic non-healing wounds impose a huge burden on patients and health care providers. In spite of improvements in standards of care there are no effective and safe treatments that promote new tissue formation and wound closure in ailments such as diabetic foot ulcer, pressure ulcer, venous leg ulcer or digital ulcer in systemic sclerosis. Endothelial dysfunction, which associates with impaired endogenous nitric oxide formation is assumed to be a main disease mechanism in chronic, non-healing wounds in diabetic and elderly patients as well as in digital ulcers in systemic sclerosis. Topadur Pharma has invented small molecular weight nitric oxide-releasing PDE5 inhibitors, which by modulating a key enzyme system of intracellular signaling may address chronic non-healing wounds. The promising first drug candidate TOP-N53 is currently in early clinical development. Here we describe for the first time the design of TOP-N53 and the synthesis of the clinical GMP batch.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".