Bibliographic record
Abstract
Ubiquitin Specific Protease 7 (USP7) catalyzes the deubiquitination of several substrate proteins including p53, Mdm2 and UbE2E1. Deubiquitination results in their rescue from 26S proteasome mediated degradation thus USP7 is critical in maintaining the cellular steady state levels of its substrates. USP7 is also known to interact with several viral proteins including herpes simplex virus Infected Cell Protein 0 (ICP0), Epstein Barr Nuclear Antigen 1 (EBNA1) and Kaposi's sarcoma-associated viral interferon regulatory factor 4 (vIRF4). USP7 possesses several domains including an N-terminal TRAF, a catalytic and five ubiquitin-like domains. The crystal structures of several complexes revealed that most substrate proteins interact with the N-terminal domain of USP7 which folds into an eight-stranded antiparallel beta sandwich. EBNA1 and MCM-BP also interact with USP7 through its N-terminal domain in an identical manner to its substrates p53, Mdm2 and UbE2E1 however these proteins are not deubiquitinated by USP7. Substrates that interact with USP7 through its N-terminal domain possess a P/AxxS binding motif. The identification, characterization and structure determination of novel USP7 substrates is ongoing.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".