Involvement of zinc in the binding ofMycoplasma arthritidis-derived mitogen to the proximity of the HLA-DR binding groove regardless of histidine 81 of the β chain
Bibliographic record
Abstract
Although our recent studies have provided the first evidence demonstrating the direct binding of Mycoplasma arthritidis-derived mitogen (MAM) to MHC class II molecules, it is not yet established how MAM interacts with these molecules. Herein, we demonstrate that MAM binds preferentially and with high affinity to HLA-DR molecules in a zinc-dependent manner. MAM's affinity (25 nM) for HLA-DR molecules is comparable to that of staphylococcal superantigens, and is slightly higher than that for murine MHC class II molecules expressed on the A20 B cell line (111 nM). The amino acid residues located between 14 - 31 and 76 - 90 of the MAM N-terminus play a critical role in MAM / HLA-DR interactions. Histidine at position 81 of the HLA-DR beta-chain, known to be critical for binding of zinc-coordinated superantigens, is not necessary for MAM / HLA-DR interactions. The HLA-DR residues involved in MAM binding are located in the proximal binding groove of the HLA-DR molecule, where the nature of the peptide of the binding groove plays an important role in MAM / HLA-DR interaction. This is the first detailed characterization of MAM's interactions with MHC class II molecules showing a mode of interaction with HLA-DR distinct from that of other superantigens.
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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".