Molecular Similarities in the Ligand Binding Pockets of an Odorant Receptor and the Metabotropic Glutamate Receptors
Bibliographic record
Abstract
The 5.24 odorant receptor is an amino acid sensing receptor that is expressed in the olfactory epithelium of fish. The 5.24 receptor is a G-protein-coupled receptor that shares amino acid sequence identity to mammalian pheromone receptors, the calcium-sensing receptor, the T1R taste receptors, and the metabotropic glutamate receptors (mGluRs). It is most potently activated by the basic amino acids L-lysine and L-arginine. In this study we generated a homology model of the ligand binding domain of the 5.24 receptor based on the crystal structure of mGluR1 and examined the proposed lysine binding pocket using site-directed mutagenesis. Mutants of truncated glycosylated versions of the receptor containing only the extracellular domain were analyzed in a radioligand binding assay, whereas the analogous full-length membrane-bound mutants were studied using a fluorescence-based functional assay. In silico analysis predicted that aspartate 388 interacts with the terminal amino group on the side chain of the docked lysine molecule. This prediction was supported by experimental observations demonstrating that mutation of this residue caused a 26-fold reduction in the affinity for L-lysine but virtually no change in the affinity for the polar amino acid L-glutamine. In addition, mutations in four highly conserved residues (threonine 175, tyrosine 223, and aspartates 195 and 309) predicted to establish interactions with the alpha amino group of the bound lysine ligand greatly reduced or eliminated binding and receptor activation. These results define the essential features of amino acid selectivity within the 5.24 receptor binding pocket and highlight an evolutionarily conserved motif required for ligand recognition in amino acid activated receptors in the G-protein-coupled receptor superfamily.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| 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) | 0.000 | 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 teacher head, 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".