Distinctive Interactions at Multiple Site 2 Subsites by Allele-Specific Rat and Mouse Ly49 Determine Functional Binding and Class I MHC Specificity
Bibliographic record
Abstract
Rodent Ly49 exhibit allele-specific MHC I recognition, yet the interaction site, site 2, encompassing the area below the MHC peptide-binding groove, the alpha3 domain, and associated beta(2) microglobulin, is highly conserved among rat and mouse MHC I alleles. We previously demonstrated that allele-specific Ly49 recognition can be affected by polymorphisms specifically in the peptide anchor-binding and supertype-defining B pocket of MHC I, possibly through differential conformations assumed by solvent-exposed interaction residues when articulating with this pocket. Through mutagenesis of RT1-A1(c) and H-2D(d), we map for the first time the interaction site(s) on rat MHC I mediating rat Ly49i2 recognition and the previously unexamined Ly49G(BALB/c) interaction with H-2D(d). We demonstrate that rat Ly49i2 and mouse Ly49G use both unique and common interactions at three MHC I H chain subsites to mediate functional binding and allele-specific recognition. We find that the F subsite, formed by solvent-exposed residues below the more conserved C-terminal anchor residue-binding F pocket, acts as an anchoring location for both Ly49i2 and Ly49G, whereas these receptors exhibit distinctive reliance on solvent-exposed residues articulating with the polymorphic anchor-binding and supertype-defining pocket(s) at subsite B, as well as on interaction residues at subsite C in the MHC I alpha3 domain. Our findings, combined with previous Ly49A/H-2D(d) and Ly49C/H-2K(b) cocrystal data, suggest how allele-specific MHC I conformations and Ly49 polymorphisms may affect Ly49 placement on MHC I ligands and residue usage at site 2, thereby mediating allele-specific recognition at the highly conserved MHC I interface.
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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".