FeNO Structure in Distal Pocket Mutants of Myoglobin Based on Resonance Raman Spectroscopy
Bibliographic record
Abstract
FeNO vibrational frequencies were investigated for a series of myoglobin mutants using isotope-edited resonance Raman spectra of (15/14)NO adducts, which reveal the FeNO and NO stretching modes. The latter give rise to doublet bands, as a result of Fermi resonances with coincident porphyrin vibrations; these doublets were analyzed by curve-fitting to obtain the nuNO frequencies. Variations in nuNO among the mutants correlate with the reported nuCO variations for the CO adducts of the same mutants. The correlation has a slope near unity, indicating equal sensitivity of the NO and CO bonds to polar influences in the heme pocket. A few mutants deviate from the correlation, indicating that distal interactions differ for the NO and CO adducts, probably because of the differing distal residue geometries. In contrast to the strong and consistent nuFeC/nuCO correlation found for the CO adducts, nuFeN correlates only weakly with nuNO, and the slope of the correlation depends on which residue is being mutated. This variability is suggested to arise from steric interactions, which change the FeNO angle and therefore alter the Fe-NO and N-O bond orders. This effect is modeled with Density Functional Theory (DFT) and is rationalized on the basis of a valence isomer bonding model. The FeNO unit, which is naturally bent, is a more sensitive reporter of steric interactions than the FeCO unit, which is naturally linear. An important additional factor is the strength of the bond to the proximal ligand, which modulates the valence isomer equilibrium. The FeNO unit is bent more strongly in MbNO than in protein-free heme-NO complexes because of a combination of a strengthened proximal bond and distal interactions.
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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) | 0.000 | 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 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".