A stochastic model for microtubule dynamicity involving mixtures of tubulin isotypes
Bibliographic record
Abstract
Abstract Experimental studies on the dynamicity of microtubules in a mixed αβII/αβIII tubulin solution show a nonlinear dependence with respect to the relative αβII/αβIII concentration. In this article, a physical model explaining this phenomenon in terms of tubulin dimers' affinity is introduced. We argue that lower affinities of tubulin dimers belonging to the same isotype than those that represent different isotypes indicate hitherto unsuspected influences of tubulin dimers on each other within a microtubule. We further show that similar influences between GTP‐GTP, GTP‐GDP, and GDP‐GDP tubulin dimers could also play a major role in the structure of the microtubule tip and hence in determining the microtubule's growth and/or shortening phases. These results can guide a future atomistic‐level model development. © 2009 Wiley Periodicals, Inc. Int J Quantum Chem, 2009
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".