Electrostatic and Steric Contributions to Block of the Skeletal Muscle Sodium Channel by μ-Conotoxin
Bibliographic record
Abstract
Pore-blocking toxins are valuable probes of ion channels that underlie electrical signaling. To be effective inhibitors, they must show high affinity and specificity and prevent ion conduction. The 22-residue sea snail peptide, mu-conotoxin GIIIA, blocks the skeletal muscle sodium channel completely. Partially blocking peptides, derived by making single or paired amino acid substitutions in mu-conotoxin GIIIA, allow a novel analysis of blocking mechanisms. Replacement of one critical residue (Arg-13) yielded peptides that only partially blocked single-channel current. These derivatives, and others with simultaneous substitution of a second residue, were used to elucidate the structural basis of the toxin's blocking action. The charge at residue-13 was the most striking determinant. A positive charge was necessary, though not sufficient, for complete block. Blocking efficacy increased with increasing residue-13 side chain size, regardless of charge, suggesting a steric contribution to inhibition. Charges grouped on one side of the toxin molecule at positions 2, 12, and 14 had a weaker influence, whereas residue-16, on the opposite face of the toxin, was more influential. Most directly interpreted, the data suggest that one side of the toxin is masked by close apposition to a binding surface on the pore, whereas the other side, bearing Lys-16, is exposed to an aqueous cavity accessible to entering ions. Strong charge-dependent effects emanate from this toxin surface. In the native toxin, Arg-13 probably presents a strategically placed electrostatic barrier rather than effecting a complete steric occlusion of the pore. This differs from other well-described channel inhibitors such as the charybdotoxin family of potassium channel blockers and the sodium channel-blocking guanidinium toxins (tetrodotoxin and saxitoxin), which appear to occlude the narrow part of the pore.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.002 | 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".