Molecular Model of Hemoglobin N from <i>Mycobacterium tuberculosis</i> Bound to Lipid Bilayers: A Combined Spectroscopic and Computational Study
Bibliographic record
Abstract
A singular aspect of the 2-on-2 hemoglobin structures of groups I and II is the presence of tunnels linking the protein surface to the distal heme pocket, supporting the storage and the diffusion of small apolar ligands to/from the buried active site. As the solubility of apolar ligands is greater in biological membranes than in solution, the association of these proteins with biological membranes may improve the efficiency of ligand capture. As very little is known on this subject, we have investigated the interactions between hemoglobin N (HbN), a group I 2-on-2 hemoglobin from the pathogenic Mycobacterium tuberculosis (Mtb), and biological membranes using both experimental techniques and MD simulations. HbN has a potent nitric oxide dioxygenase activity (HbN-Fe²⁺-O₂ + •NO + H₂O → HbN-Fe³⁺-OH₂ + NO₃⁻) that is thought to protect the aerobic respiration of Mtb from inhibition by •NO. Three different membrane compositions were chosen for the studies, representative of the mycobacterial plasma membrane and the mammalian cell membranes. Both the experimental and the modeling results agreed with each other and allow for a detailed molecular description of HbN in association with membranes of different compositions. The results indicated that HbN is a peripheral protein, and the association with the membranes occurred via the pre-A, G, and H helices. In addition, HbN would be allowed to modulate the binding to the membranes via electrostatic interactions between the lipid membranes and the Asp100 residue. In its membrane-bound form the short tunnel of HbN is oriented toward the membrane interior and the other tunnels point toward the solvent. Such protein orientation would facilitate the uptake of nonpolar substrates from the membrane and the release of products to the solvent. It is interesting to note that the pre-A, G, and H helices are conserved among HbN from a few other Mycobacteria.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".