NMR Structure of the Natural Killer Cell Receptor 2B4 (CD244): Implications for Ligand Recognition<sup>,</sup>
Bibliographic record
Abstract
2B4, a transmembrane receptor expressed primarily on natural killer (NK) cells and on a subset of CD8(+) T cells, plays an important role in activating NK-mediated cytotoxicity through its interaction with CD48 on target cells. We report here the atomic-resolution structure of the ligand-binding (D1) domain of 2B4 in solution determined by nuclear magnetic resonance (NMR) spectroscopy. The overall main chain structure resembles an immunoglobulin variable (V) domain fold, very similar to that seen previously for domain 1 of CD2 and CD4. The structure contains nine beta-strands assembled into two beta-sheets conventionally labeled DEB and AGFCC'C' '. The six-stranded sheet (AGFCC'C' ') contains structural features that may have implications for ligand recognition and receptor function. A noncanonical disulfide bridge between Cys2 and Cys99 stabilizes a long and parallel beta-structure between strand A (residues 3-12) and strand G (residues 100-108). A beta-bulge at residues Glu45 and Ile46 places a bend in the middle of strand C' that orients two conserved and adjacent hydrophobic residues (Ile46 and Leu47) inside the beta-sandwich as seen in other V domains. Finally, the FG-loop (implicated in ligand recognition in the CD2-CD58 complex) is dynamically disordered in 2B4 in the absence of a ligand. We propose that ligand binding to 2B4 might stabilize the structure of the FG-loop in the ligand complex.
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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".