<i>De Novo</i>-Designed APC/C Inhibitors Provide a Rationale for Targeting RING-Type E3 Ubiquitin Ligases
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide The ubiquitin system represents an attractive pharmacological target for numerous pathological processes, including cancer and neurodegeneration. RING domain-containing E3 ubiquitin ligases constitute the largest class of ubiquitin enzymes, providing a scaffold for substrate recognition and catalysis. Their shallow groove recognition interfaces involving discontinuous epitopes and a lack of defined binding pockets have largely rendered them undruggable. Inspired by natural RING inhibitors, we have developed a pharmacophore-based strategy for the rational design of peptidomimetics targeting RING domains, and we demonstrate its feasibility by using the macromolecular APC/C complex (anaphase-promoting complex/cyclosome). We designed scaffolds binding to the APC/C RING domain and efficiently inhibiting its activity in vitro . Iterative structure-based design and experimental studies to optimize their chemical stability, permeability, and specificity lead to new hydrocarbon-stapled-based molecules inhibiting APC/C in vitro and in cancer cells. Our results provide a robust rationale for targeting RING-containing enzymes of therapeutic value and promising leads for clinical APC/C inhibition.
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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 | 0.000 |
| 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".