Tryptophan 86 of the α Subunit in the <i>Torpedo</i> Nicotinic Acetylcholine Receptor Is Important for Channel Activation by the Bisquaternary Ligand Suberyldicholine
Bibliographic record
Abstract
Suberyldicholine, a bisquaternary compound, is a potent nicotinic acetylcholine receptor agonist. Previously, we suggested that at least some of the unusual binding properties of this ligand may be a consequence of its ability to cross-link two binding "subsites" within each of the high-affinity agonist binding domains [Dunn, S. M. J., and Raftery, M. A. (1997) Biochemistry 36, 3846-3853]. Tryptophan 86 of the alpha subunit has previously been implicated in the binding of agonist to this receptor. However, on the basis of the crystal structure of a homologous acetylcholine binding protein, this residue is predicted to lie 15-20 A from the high-affinity site, i.e., a distance that approximates the interonium distance of suberyldicholine. Tryptophan 86 was mutated to either an alanine or a phenylalanine, and the mutated subunit was coexpressed with wild-type beta, gamma, and delta subunits in Xenopus oocytes. Although the alanine mutation resulted in a loss of receptor expression, the alphaW86F mutant receptor was expressed on the oocyte surface, albeit with a much reduced efficiency. Acetylcholine-evoked currents of the alphaW86F receptor were not significantly different from those of the wild type with respect to the concentration dependence of channel activation, receptor desensitization, or d-tubocurarine inhibition. In contrast, the EC(50) for suberyldicholine-mediated activation of the alphaW86F receptor was increased by approximately 500-fold. Furthermore, suberyldicholine-evoked currents in the mutant receptor did not desensitize and were insensitive to block by d-tubocurarine. Thus, tryptophan 86 of the Torpedo receptor alpha subunit may be part of a subsite for recognition of suberyldicholine and other bisquaternary ligands.
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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 | 0.000 |
| 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 | 0.001 | 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".