A two-step mechanism governing PARP1-DNA retention by PARP inhibitors
Bibliographic record
Abstract
PARP inhibitors (PARPi) have emerged as promising cancer therapeutics capable of targeting specific DNA repair pathways, but their mechanism of action with respect to PARP1-DNA retention remains unclear. Here, we developed single-molecule assays to directly monitor the retention of PARP1 on DNA lesions in real time. Our study reveals a two-step mechanism by which PARPi modulate the retention of PARP1 on DNA lesions, consisting of a primary step of catalytic inhibition via binding competition with NAD + followed by an allosteric modulation of bound PARPi. While clinically relevant PARPi exhibit distinct allosteric modulation activities that can either increase retention of PARP1 on DNA or induce its release, their retention potencies are predominantly determined by their ability to outcompete NAD + binding. These findings provide a mechanistic basis for improved PARPi selection according to their characteristic activities and enable further development of more potent inhibitors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 teacher head, 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".