Electrospray mass spectrometry of neuac oligomers associated with the c fragment of the tetanus toxin
Bibliographic record
Abstract
The Clostridial neurotoxins, botulinum and tetanus, gain entry into motor neurons by binding to the sialic or N-acetylneuraminic acid (NeuAc) residues of gangliosides and specific protein receptors attached to the cell's surface. While the C-fragment of tetanus toxin (TetC) has been identified to be the ganglioside binding domain, remarkably little is known about how this domain discriminates between the structural features of different gangliosides. We have used electrospray ionization mass spectrometry (ESI-MS) to examine the formation of complexes between TetC and carbohydrates containing NeuAc groups to determine how NeuAc residues contribute to ganglioside binding. ESI-MS was used to obtain an estimate of the dissociation constants (KD values) for TetC binding to a number of related NeuAc-containing carbohydrates (sialyllactose and disialyllactose), as well as six (NeuAc)n oligomers (n = 1-6). KD values were found to range between approximately 10-35 microM. The strength of the interactions between the C fragment and (NeuAc)n are consistent with the topography of the targeting domain of tetanus toxin and the nature of its carbohydrate binding sites. These results suggest that the targeting domain of tetanus toxin contains two binding sites that can accommodate NeuAc (or a dimer) and that NeuAc may play an important role in ganglioside binding and molecular recognition, a process critical for normal cell function and one frequently exploited by toxins, bacteria, and viruses to facilitate their entrance into cells.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".