Faculty Opinions recommendation of Structural Insights into Yeast Telomerase Recruitment to Telomeres.
Bibliographic record
Abstract
Telomerase maintains chromosome ends from humans to yeasts.Recruitment of yeast telomerase to telomeres occurs through its Ku and Est1 subunits, via independent interactions with telomerase RNA (TLC1) and telomeric proteins Sir4 and Cdc13, respectively.However, the structures of the molecules comprising these telomerase-recruiting pathways remain unknown.Here, we report crystal structures of the Ku heterodimer and Est1 complexed with their key binding partners.Two major findings are: (1) Ku specifically binds to telomerase RNA in a distinct, yet related, manner to how it binds DNA and (2) Est1 employs two separate pockets to bind distinct motifs of Cdc13.The N-terminal Cdc13-binding site of Est1 cooperates with the TLC1-Ku-Sir4 pathway for telomerase recruitment, whereas the C-terminal interface is dispensable for binding Est1 in vitro, yet is nevertheless essential for telomere maintenance in vivo.Overall, our results integrate previous models and provide fundamentally valuable structural information regarding telomere biology.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.120 | 0.092 |
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".