Docking of μ-Conotoxin GIIIA in the Sodium Channel Outer Vestibule
Bibliographic record
Abstract
mu-Conotoxin GIIIA (mu-CTX) is a high-affinity ligand for the outer vestibule of selected isoforms of the voltage-gated Na(+) channel. The detailed bases for the toxin's high affinity binding and isoform selectivity are unclear. The outer vestibule is lined by four pore-forming (P) loops, each with an acidic residue near the mouth of the vestibule. mu-CTX has seven positively charged residues that may interact with these acidic P-loop residues. Using pair-wise alanine replacement of charged toxin and channel residues, in conjunction with double mutant cycle analysis, we determined coupling energies for specific interactions between each P-loop acidic residue and selected toxin residues to systematically establish quantitative restraints on the toxin orientation in the outer vestibule. Xenopus oocytes were injected with the mutant or native Na(+) channel mRNA, and currents measured by two-electrode voltage clamp. Mutant cycle analysis revealed novel, strong, toxin-channel interactions between K9/E403, K11/D1241, K11/D1532, and R19/D1532. Experimentally determined coupling energies for interacting residue pairs provided restraints for molecular dynamics simulations of mu-CTX docking. Our simulations suggest a refined orientation of the toxin in the pore, with toxin basic side-chains playing key roles in high-affinity binding. This modeling also provides a set of testable predictions for toxin-channel interactions, hitherto not described, that may contribute to high-affinity binding and channel isoform selectivity.
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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".