Targeted protein degradation via intramolecular bivalent glues
Bibliographic record
Abstract
Abstract Targeted protein degradation is a pharmacological modality based on the induced proximity of an E3 ubiquitin ligase and a target protein to promote target ubiquitination and proteasomal degradation. This has been achieved either via bifunctional compounds (PROTACs) composed of two separate warheads that individually bind the target and E3 ligase, or via molecular glues that monovalently bind either the ligase or the target 1–4 . Using orthogonal genetic screening, biophysical characterization, and structural reconstitution, we investigate the mode of action of bifunctional BRD2/4 degraders (IBG1-4) and find that – instead of connecting target and ligase in trans as PROTACs do – they simultaneously engage two adjacent domains of the target protein in cis . This conformational change glues BRD4 to the E3 ligases DCAF11 or DCAF16, leveraging intrinsic target-ligase affinities which, albeit pre-existing, do not translate to BRD4 degradation in absence of compound. Structural insights into the ternary BRD4:IBG1:DCAF16 complex guided the rational design of improved degraders of low picomolar potency. We thus introduce a new modality in targeted protein degradation, termed intramolecular bivalent glues (IBGs), which work by bridging protein domains to enhance surface complementarity with E3 ligases for productive ubiquitination and degradation.
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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 | 0.001 |
| 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".