Clockwise Domain Arrangement of the Sodium Channel Revealed by ¼-Conotoxin (GIIIA) Docking Orientation
Bibliographic record
Abstract
mu-Conotoxins (mu-CTXs) specifically inhibit Na(+) flux by occluding the pore of voltage-gated Na(+) channels. Although the three-dimensional structures of mu-CTXs are well defined, the molecular configuration of the channel receptor is much less certain; even the fundamental question of whether the four homologous Na(+) channel domains are arranged in a clockwise or counter-clockwise configuration remains unanswered. Residues Asp(762) and Glu(765) from domain II and Asp(1241) from domain III of rat skeletal muscle Na(+) channels are known to be critical for mu-CTX binding. We probed toxin-channel interactions by determining the potency of block of wild-type, D762K, E765K, and D1241C channels by wild-type and point-mutated mu-CTXs (R1A, Q14D, K11A, K16A, and R19A). Individual interaction energies for different toxin-channel pairs were quantified from the half-blocking concentrations using mutant cycle analysis. We find that Asp(762) and Glu(765) interact strongly with Gln(14) and Arg(19) but not Arg(1) and that Asp(1241) is tightly coupled to Lys(16) but not Arg(1) or Lys(11). These newly identified toxin-channel interactions within adjacent domains, interpreted in light of the known asymmetric toxin structure, fix the orientation of the toxin with respect to the channel and reveal that the four internal domains of Na(+) channels are arranged in a clockwise configuration as viewed from the extracellular surface.
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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".