Targeting Serine Proteases in Asthma
Bibliographic record
Abstract
Leukocytes and lung structural cells contribute to the pathophysiology of asthma through the production of numerous mediators including serine proteases. Such proteases include mast cell tryptase and chymase; neutrophil elastase, cathepsin G and myeloblastin (proteinase 3); bronchial epithelial cell-derived transmembrane protease, serine 11D (human airway trypsin-like protease); cytotoxic T lymphocyte- and natural killer cell-derived granzyme B; and, eosinophil serine protease 1 (testisin). Considerable effort to develop potent and selective inhibitors, mostly non-peptidic, especially targeting tryptase and chymase have been made in the last few years. This review presents promising inhibitors, currently in the research and development pipeline. Some endogenous inhibitors and other compounds purified from non-human species are also discussed.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.004 |
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".