Structural basis for phosphorylation-dependent signaling in the DNA-damage response
Bibliographic record
Abstract
The response of eukaryotic cells to DNA damage requires a multitude of protein-protein interactions that mediate the ordered repair of the damage and the arrest of the cell cycle until repair is complete. Two conserved protein modules, BRCT and forkhead-associated (FHA) domains, play key roles in the DNA-damage response as recognition elements for nuclear Ser/Thr phosphorylation induced by DNA-damage-responsive kinases. BRCT domains, first identified at the C-terminus of BRCA1, often occur as multiple tandem repeats of individual BRCT modules. Our recent structural and functional work has revealed how BRCT repeats recognize phosphoserine protein targets. It has also revealed a secondary binding pocket at the interface between tandem repeats, which recognizes the amino-acid 3 residues C-terminal to the phosphoserine. We have also studied the molecular function of the FHA domain of the DNA repair enzyme, polynucleotide kinase (PNK). This domain interacts with threonine-phosphorylated XRCC1 and XRCC4, proteins responsible for the recruitment of PNK to sites of DNA-strand-break repair. Our studies have revealed a flexible mode of recognition that allows PNK to interact with numerous negatively charged substrates.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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".