Truncated Hemoglobins and Nitric Oxide Action
Bibliographic record
Abstract
Truncated hemoglobins (trHbs) build a separate subfamily within the hemoglobin superfamily; they are scarcely related by sequence similarity to (non-)vertebrate hemoglobins, displaying amino acid sequences in the 115-130 residue range. The trHb tertiary structure is based on a 2-on-2 alpha-helical sandwich, which hosts a unique hydrophobic cavity/tunnel system, traversing the protein matrix, from the molecular surface to the heme distal site. Such a protein matrix system may provide a path for diffusion of ligands to the heme. In Mycobacterium tuberculosis trHbN the heme-bound oxygen molecule is part of an extended hydrogen bond network including the heme distal residues TyrB10 and GlnE11. In vitro experiments have shown that M. tuberculosis trHbN supports efficiently nitric oxide dioxygenation, yielding nitrate. Such a reaction would provide a defense barrier against the nitrosative stress raised by host macrophages during lung infection. It is proposed that the whole protein architecture, the heme distal site hydrogen bonded network, and the unique protein matrix tunnel, are optimally designed to support the pseudo-catalytic role of trHbN in converting the reactive NO species into the harmless NO3-.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".