Mechanism of DNA substrate recognition by the mammalian DNA repair enzyme, Polynucleotide Kinase
Bibliographic record
Abstract
Mammalian polynucleotide kinase (mPNK) is a critical DNA repair enzyme whose 5'-kinase and 3'-phoshatase activities function with poorly understood but striking specificity to restore 5'-phosphate/3'-hydroxyl termini at sites of DNA damage. Here we integrated site-directed mutagenesis and small-angle X-ray scattering (SAXS) combined with advanced computational approaches to characterize the conformational variability and DNA-binding properties of mPNK. The flexible attachment of the FHA domain to the catalytic segment, elucidated by SAXS, enables the interactions of mPNK with diverse DNA substrates and protein partners required for effective orchestration of DNA end repair. Point mutations surrounding the kinase active site identified two substrate recognition surfaces positioned to contact distinct regions on either side of the phosphorylated 5'-hydroxyl. DNA substrates bind across the kinase active site cleft to position the double-stranded portion upstream of the 5'-hydroxyl on one side, and the 3'-overhang on the opposite side. The bipartite DNA-binding surface of the mPNK kinase domain explains its preference for recessed 5'-termini, structures that would be encountered in the course of DNA strand break repair.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".