Insight into blocking heme transfer by exploiting molecular interactions in the core Isd heme transporters IsdA-NEAT, IsdC-NEAT, and IsdE of Staphylococcus aureus
Bibliographic record
Abstract
The pathogenic bacterium Staphylococcus aureus has adopted specialized mechanisms for scavenging iron from its host. The nine cell wall and membrane-associated iron regulated surface determinant (Isd) proteins (IsdH, IsdB, IsdA, IsdC, IsdDEF, IsdG and IsdI) allow Staphylococcus aureus to scavenge iron from the heme in hemoglobin and haptoglobin-hemoglobin. Of these, it is IsdE that chaperones the heme to the ATP binding cassette-type transmembrane transporter (IsdF). IsdH, IsdB, IsdA and IsdC contain at least one heme binding Near Transporter (NEAT) domain. Previous studies have shown that ferric heme is transferred unidirectionally in the sequence IsdA-NEAT (Tyr - proximal amino acid) → IsdC-NEAT (Tyr) → IsdE (His). IsdA-NEAT does not transfer heme directly to IsdE. In this paper we investigated PPIX transfer through the core cell wall proteins of the Isd system (IsdA-NEAT, IsdC-NEAT and IsdE) with FePPIX-dimethylester, and the metal substituted CoPPIX and MnPPIX using ESI-MS, UV-visible absorption and MCD spectroscopy. IsdA binds each of the rings but the subsequent transfer properties to IsdC-N or IsdE are not the same as found with heme. FePPIX-DME transfers from IsdA-N to IsdC-N but neither protein transfers the ring to IsdE. IsdA-N does not transfer CoPPIX to IsdC-N or IsdE. IsdA-N does transfer MnPPIX to both IsdC-N and IsdE. Significantly, it is possible that since CoPPIX and FePPIX-DME bind to IsdA-N, the lack of transfer to IsdC-N and subsequently to IsdE for CoPPIX could prove to be used as a potential disruption agent to the S. aureus heme transfer system and may identify a possible anti-microbial.
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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) | 0.001 | 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".