Assessment of benzimidazole binding to individual recombinant tubulin isotypes from <i>Haemonchus contortus</i>
Bibliographic record
Abstract
One a- and 2 beta-tubulin isotypes (isotypes 1 and 2) from the parasitic nematode Haemonchus contortus were artificially expressed in E. coli and purified to obtain tubulin that was capable of polymerizing into microtubules. Binding of [14C] mebendazole (MBZ), a benzimidazole compound, to each individual unpolymerized isotype and to microtubules polymerized from recombinant alpha- and beta-tubulin was assessed and Kd and Bmax values determined. Mebendazole bound to the individual tubulin isotypes with a stoichiometry of 1:1. Binding occurred with highest affinity to alpha-tubulin followed by beta-tubulin isotype 2 and beta-tubulin isotype 1 indicating that alpha-tubulin may play a role in benzimidazole binding to microtubules. Upon polymerization of alpha- and beta-tubulin isotype 2 into microtubules the stoichiometry of binding increased to 2:1 (mebendazole : tubulin) while binding affinity remained the same. Mebendazole binding to alpha/beta-isotype 1 microtubules remained unchanged following polymerization. The increase in the number of benzimidazole receptors on alpha/beta-isotype 2 microtubules suggests the formation of a new benzimidazole receptor upon polymerization.
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) | 0.001 | 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".