Bibliographic record
Abstract
Peroxynitrite, a biological toxin produced in vivo by the nearly diffusion-controlled reaction of nitrogen monoxide with superoxide, can nitrate and oxidize various biomolecules. Modifications caused by peroxynitrite have been linked to many human diseases, in particular, increased levels of free or protein-bound 3-nitrotyrosine, a biomarker for peroxynitrite in vivo, have been detected in a variety of pulmonary and cardiovascular diseases as well as in neurodegenerative and chronic inflammatory disorders. These observations have led to the search for a drug that can scavenge this powerful nitrating and oxidizing agent. Heme proteins, in particular myoglobin and hemoglobin, present in large amounts in muscles and red blood cells, respectively, have been proposed to serve as sinks for peroxynitrite in these cells. This report reviews the current knowledge of the reactions of different forms of myoglobin and hemoglobin with peroxynitrite and discusses their physiological role on the basis of measured rate constants.Key words: myoglobin, hemoglobin, peroxynitrite, tyrosine nitration, iron(III) peroxynitrite complex.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".