Comparative modelling of human β tubulin isotypes and implications for drug binding
Bibliographic record
Abstract
The protein tubulin is a target for several anti-mitotic drugs, which affect microtubule dynamics, ultimately leading to cell cycle arrest and apoptosis. Many of these drugs, including the taxanes and Vinca alkaloids, are currently used clinically in the treatment of several types of cancer. Another tubulin binding drug, colchicine, although too toxic to be used as a chemotherapeutic agent, is commonly used for the treatment of gout. The main disadvantage that all of these drugs share is that they bind tubulin indiscriminately, leading to the death of both cancerous and healthy cells. However, the broad cellular distribution of several tubulin isotypes provides a platform upon which to construct novel chemotherapeutic drugs that could differentiate between different cell types, reducing the undesirable side effects associated with current chemotherapeutic treatments. Here, we report an analysis of ten human β tubulin isotypes and discuss differences within each of the previously characterized paclitaxel, colchicine and vinblastine binding sites.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".