The role of poly(ADP-ribose) in the DNA damage signaling network
Bibliographic record
Abstract
DNA damage signaling is crucial for the maintenance of genome integrity. In higher eukaryotes a NAD+-dependent signal transduction mechanism has evolved to protect cells against the genome destabilizing effects of DNA strand breaks. The mechanism involves 2 nuclear enzymes that sense DNA strand breaks, poly(ADP-ribose) polymerase-1 and -2 (PARP-1 and PARP-2). When activated by DNA breaks, these PARPs use NAD+ to catalyze their automodification with negatively charged, long and branched ADP-ribose polymers. Through recruitment of specific proteins at the site of damage and regulation of their activities, these polymers may either directly participate in the repair process or coordinate repair through chromatin unfolding, cell cycle progression, and cell survival-cell death pathways. A number of proteins, including histones, DNA topoisomerases, DNA methyltransferase-1 as well as DNA damage repair and checkpoint proteins (p23, p21, DNA-PK, NF-kB, XRCC1, and others) can be targeted in this manner; the interaction involves a specific poly(ADP-ribose)-binding sequence motif of 20-26 amino acids in the target domains.
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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 | 0.002 |
| 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".