Excitatory Amino Acid Receptors of the Electrosensory System: The NR1/NR2B<i>N</i>-Methyl-<scp>d</scp>-Aspartate Receptor
Bibliographic record
Abstract
The amino acid sequence of the N-methyl-D-aspartate (NMDA) receptor subunit NR2B from the brown ghost knife fish Apteronotus leptorhynchus has been determined and compared with the sequence of the murine NR2B. This comparison revealed high levels of sequence conservation throughout the ligand binding and membrane spanning segments. The functional properties of the NR1 and NR2B receptor complex were examined by coexpression in HEK cells. The recombinant AptNR1/NR2B receptors produced robust currents after stimulation with glutamate or NMDA in the presence of glycine. Measurements of the concentration dependencies for these agonists indicated that the agonist binding sites on the apteronotid receptor are highly conserved, with nearly identical agonist affinities to those of the murine NR1/NR2B receptor. The kinetic responses of the fish receptor were also highly conserved, with deactivation rates for the AptNR2B receptor matching those of the murine NR2B containing receptor. Evidently, most of the unique functional properties that reside in the NR2B receptor subunit have been well conserved in teleost NMDA receptors. On the other hand, the apteronitid receptor displayed a lowered sensitivity to voltage-dependent Mg(2+) block and a reduced affinity for the NR2B-specific noncompetitive antagonist ifenprodil. We conclude that the functional properties that result from the incorporation of the NR2B receptor in the NMDA receptor complex have been maintained since the evolutionary divergence of teleost and mammalian organisms.
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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".