p53 Transcriptional Activation Domain: A Molecular Chameleon?
Bibliographic record
Abstract
The recent structure of human replication protein A (RPA) bound to residues 38-58 of tumor suppressor p53 exemplifies several important features of protein-protein interactions involved in transcription and DNA repair. First, the N-terminal transcriptional activation domain (TAD) of p53 is multifunctional and dynamic, showing multiple interactions with partner proteins some of which are modulated by phosphorylation. Second, the binding of partner proteins is coupled with a disorder-to-order transition common to many other transcriptional activation domains. Third, the molecular features of p53 residues 47-58 imitate those of single stranded DNA in their interaction with the oligonucleotide oliogsaccharide-binding (OB) fold of the N-terminal domain of RPA70. This regulated association is implicated in transmitting the DNA damage signal to the p53 pathway of stress response. Here we review the recently reported crystal structure of the p53/RPA70N complex and the mechanism by which ssDNA can provide positive feedback to dissociate p53/RPA complexes. The binding mode and regulatory mechanisms of the p53/RPA70N interaction may represent a general paradigm for regulation of the OB folds involved in DNA repair and metabolism.
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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 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".