Molecular basis for the activation of Aurora A and Plk1 kinases during mitotic entry
Bibliographic record
Abstract
Abstract The evolutionarily conserved, intrinsically disordered protein Bora is critical for initiating the activation of mitotic kinases. Once phosphorylated at Ser112 by Cyclin A-Cdk1 kinase, phospho-(p)Bora activates unphosphorylated Aurora A kinase (AURKA), directing it towards Polo-like kinase 1 (Plk1), thus promoting Cyclin B-Cdk1 activation and mitotic entry. Here, by combining structural modelling and in vitro assays, we provide evidence that Bora wraps around the N-terminal lobe of AURKA to position its phospho-Ser112 near AURKA’s T-loop, mimicking T-loop phosphorylation. Additionally, Bora transiently interacts with the Alpha C helix of the Plk1 kinase domain through a conserved motif, guiding AURKA activity towards the Plk1 T-loop, which is otherwise impervious to phosphorylation by AURKA. We highlight the importance of this motif for Bora function in vitro and during mitotic entry in Xenopus egg extracts. Our results reveal critical molecular details of mitotic kinase activation, which could lead to the development of pathway-specific inhibitors. Highlights MITOKINAC: a versatile approach that reconstitutes Bora and AURKA-dependent Plk1 T-loop phosphorylation in E. coli . AlphaFold 3 structural modeling of the phospho-Bora – AURKA complex tested by MITOKINAC using 39 Bora variants. Phospho-Bora wraps around the N-terminal lobe of AURKA to position its essential phospho-Serine 112 in the activation loop of AURKA. pBora delivers the AURKA activity to the Plk1 T-loop, which is otherwise impervious to AURKA phosphorylation.
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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) | 0.000 | 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".