Functional Characterization Of Dbf4 Interactions With DNA Replication And Checkpoint Factors
Bibliographic record
Abstract
The Dbf4/Cdc7 kinase complex (DDK) is essential for the initiation of DNA replication, acting upon the MCM helicase complex to trigger the initiation of replication. DDK is also a target of the intra‐S phase checkpoint, important in preserving genomic stability. Dbf4, the regulatory subunit of this kinase complex, contains three regions that are highly conserved across eukaryotic species. Of these regions the amino terminal N motif adopts a modified BRCT fold that is crucial to maintain the interaction with the checkpoint kinase Rad53, while the M and C motifs are both involved with the interaction with Cdc7 and the Mcm2 component of the MCM helicase. Mutations to critical amino acids within either of the N or C motifs result in sensitivity to a variety of DNA damaging agents. Employing both bioinformatics and structural NMR based approaches we have identified a novel surface of the forkhead‐associated (FHA1) domain of Rad53 that mediates its interaction with Dbf4. Additionally, we have generated strains that combine Dbf4 motif C mutation with mutations in previously characterized checkpoint proteins in order to better define the checkpoint role of Dbf4. Together, these findings shed light on the mechanism by which Dbf4 aids in maintaining genome stability. This research was supported through grants from the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Canadian Institutes of Health Research (CIHR)
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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".