Characterization of IsdH (NEAT domain 3) and IsdB (NEAT domain 2) in <i>Staphylococcus aureus</i> by magnetic circular dichroism spectroscopy and electrospray ionization mass spectrometry
Bibliographic record
Abstract
Absorption and magnetic circular dichroism (MCD) spectra, together with electrospray ionization mass spectral (ESI-MS) data are reported for the first two proteins in the Isd sequence of proteins in Staphylococcus aureus. IsdH-NEAT domain 3 (IsdH-N3) and IsdB-NEAT domain 2 (IsdB-N2) are considered to be involved in heme transport following heme scavenging from the hemoglobin of the host. The ESI-MS data show that a single heme binds to each of these NEAT domains. The charge states of the native proteins indicate that there is minimal change in conformation when heme binds to the heme-free native protein. Acid denaturation releases the bound heme and results in protein that exhibits significantly higher charge states, which we associate with unfolding of the protein structure. MCD spectra of the heme-bound native proteins show that the heme-iron is in a high-spin state, which is similar to that in IsdC-N. Addition of cyanide results in a spectral envelope characteristic of low-spin ferric hemes. The lack of complete binding for IsdH-N3 suggests that there is considerable congestion in the heme-binding site region. Unusually, reduction to the ferrous heme results in spectral characteristics of six coordination of the ferrous heme. CO is shown to bind strongly to both heme bound proteins, resulting in six-coordinate bound hemes. The spectra following reduction most closely resemble spectra recorded for heme with histidine in the fifth position and methionine in the sixth position. We report a theoretical model calculated from the X-ray structure coordinates of IsdH-N3, in which the heme is coordinated to nearby histidine and methionine. We propose that this structure accounts for the spectroscopic properties of the protein with the ferrous heme.
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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".